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See detailOptimization and Pharmacological Validation of a Leukocyte Migration Assay in Zebrafish Larvae for the Rapid In Vivo Bioactivity Analysis of Anti-Inflammatory Secondary Metabolites
Cordero-Maldonado, M. L.; Siverio-Mota, D.; Vicet-Muro, L. et al

in PLoS ONE (2013), 8(10),

Over the past decade, zebrafish (Danio rerio) have emerged as an attractive model for in vivo drug discovery. In this study, we explore the suitability of zebrafish larvae to rapidly evaluate the anti ... [more ▼]

Over the past decade, zebrafish (Danio rerio) have emerged as an attractive model for in vivo drug discovery. In this study, we explore the suitability of zebrafish larvae to rapidly evaluate the anti-inflammatory activity of natural products (NPs) and medicinal plants used in traditional medicine for the treatment of inflammatory disorders. First, we optimized a zebrafish assay for leukocyte migration. Inflammation was induced in four days post-fertilization (dpf) zebrafish larvae by tail transection and co-incubation with bacterial lipopolysaccharides (LPS), resulting in a robust recruitment of leukocytes to the zone of injury. Migrating zebrafish leukocytes were detected in situ by myeloperoxidase (MPO) staining, and anti-inflammatory activity was semi-quantitatively scored using a standardized scale of relative leukocyte migration (RLM). Pharmacological validation of this optimized assay was performed with a panel of anti-inflammatory drugs, demonstrating a concentration-responsive inhibition of leukocyte migration for both steroidal and non-steroidal anti-inflammatory drugs (SAIDs and NSAIDs). Subsequently, we evaluated the bioactivity of structurally diverse NPs with well-documented anti-inflammatory properties. Finally, we further used this zebrafish-based assay to quantify the anti-inflammatory activity in the aqueous and methanolic extracts of several medicinal plants. Our results indicate the suitability of this LPS-enhanced leukocyte migration assay in zebrafish larvae as a front-line screening platform in NP discovery, including for the bioassay-guided isolation of anti-inflammatory secondary metabolites from complex NP extracts. © 2013 Cordero-Maldonado et al. [less ▲]

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See detailAn Optimization Approach for an RLL-Constrained LDPC Coded Recording System Using Deliberate Flipping
Chou, Hung-Pu UL; Sham, Chiu-Wing; Hong-fu, Chou

in IEEE Communications Letters (2018)

For a recording system that has a run-length-limited (RLL) constraint, this approach imposes the hard error by flipping bits before recording. A high error coding rate limits the correcting capability of ... [more ▼]

For a recording system that has a run-length-limited (RLL) constraint, this approach imposes the hard error by flipping bits before recording. A high error coding rate limits the correcting capability of the RLL bit error. Since iterative decoding does not include the estimation technique, it has the potential capability of solving the hard error bits within several 7 iterations compared to an LDPC coded system. In this letter, we implement density evolution and the differential evolution approach to provide a performance evaluation of unequal error protection LDPC code to investigate the optimal LDPC code distribution for an RLL flipped system. [less ▲]

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See detailOptimization assisted Designing Mechanical Elements for Direct Metal Laser Sintering
Cao, Thanh Binh UL

Doctoral thesis (2019)

The common question that many mechanical engineers have tried to answer is “how to maximize strength and working reliability of parts during designs while being able to minimize the parts’ weights?” The ... [more ▼]

The common question that many mechanical engineers have tried to answer is “how to maximize strength and working reliability of parts during designs while being able to minimize the parts’ weights?” The associated solutions attach the design methods, which need to be de-veloped to build up the parts. The better solutions are the more reliable and lighter parts could be built up. Hence, the fewer negative impacts on the environment could be yielded and the closer distance we could step towards the more sustainable future. Under the influences of the Fourth Industrial Revolution, many optimization methods have been being developed, aimed at supporting engineers on figuring out the above question. Despite having substantial developments in recent years, both the optimization methods and its applications in the mechanical design field are still far from being fully exploited. To evaluate the potential use of the methods, specific product developments are essentially considered and investigated. The Thesis work particularly dealt with the investigations of the optimization assisted design methods, employed to develop structures of some mechanical elements. These constructed elements were expected to have higher performance than those traditionally designed and were able to be practically produced. For gradually studying and evaluating the processes of design, it was proposed to divide the work into the five separating phases. Within the initial phase, the first scheme of the optimization assisted design was theoretically investigated. Such a scheme was relied on the combination of topology optimization and lattice optimization and was considered in association with the redesigning process of a motorcycle frame. The frame was selected for this starting phase due to the convenient definition of the design volume subjected to the optimizations. By handling the investigations in dealing with (i) the first resonance frequency, (ii) the mass, (iii) the buckling load factor, and (iv) the equivalent stress of the newly designed frame and those of the original one, the potential use of the design approach was revealed. In addition, the investigations pointed out that further studies are essentially taken place to search for more appropriate ways to apply this approach to design novel complex structures. During the next three consecutive phases, the more complicate optimization schemes were proposed and studied. The schemes were composed of three optimization steps, including free shape optimization, topology optimization, as well as lattice optimization. The studies were handled in conjunction with the processes of innovating the hydrogen valve structure, which holds the unexposed design space. Different novel configurations were developed for the valve within these phases, targeting the reduction of mass, the prolongation of fatigue life, as well as the structural compatibility of the designed valves with DMLS. In addition, the design of a test channel for the valve performed via the use of a fatigue based approach was also introduced in one of the three phases. It was aimed at providing a mean to detect multiple early valve’s damages. All of the built structures were then virtually evaluated to point out the effectiveness of the design works. Within the last phase, experimental tests were proposed to carry out. In this phase, the best possible valve structure was selected and was subjected to produce by DMLS along with post-machining afterwards. Upon completion of the fabrications, the in-house fatigue tests were tak-en place for the produced valves until damages or reaching 2E5 cycles. The obtained data of the tests provided further evidence to support the theoretical studies demonstrated in the first four phases. [less ▲]

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See detailOptimization assisted redesigning a structure of a hydrogen valve: the redesign process and numerical evaluations
Cao, Thanh Binh UL; Kedziora, Slawomir UL; Sellen, Stephan UL et al

in International Journal on Interactive Design and Manufacturing (2020)

This study introduced the redesign process of an automotive hydrogen valve. The process relied on the structural optimization approach, which used to build up the new valves having promising stiffness and ... [more ▼]

This study introduced the redesign process of an automotive hydrogen valve. The process relied on the structural optimization approach, which used to build up the new valves having promising stiffness and the lowest possible weights. To achieve the goals, the study was proposed to be taken place via the three main stages. These stages included topology optimization, lattice optimization, as well as numerical evaluations. The achieved results firstly indicated that the two newly designed valves possessed longer life and lower mass than the original valve. Especially, the topology optimized one could withstand more than 5E4 working cycles in the pre-treated condition before the first crack would be nucleated. The results also pointed out the influences of the pre-treatment pressure on the fatigue performance of the hydrogen valve. Within the examined ranges of the pressure, increasing the pressure’s magnitudes tended to shorten the fatigue life of the topology optimized valve. Additionally, the results highlighted the impact of the employed materials on the estimated fatigue life of such a non-treated structure. In the highlights, the considered steel valves could function normally far beyond 1.5E5 working cycles while the aluminum valves would have an initial crack formation prior to reaching 3E3 cycles. The results also suggested that further practical evidence is needed to not only confirm whether the selected printed aluminum is among the promising candidate materials of the hydrogen valve but also to support the described evaluations. [less ▲]

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See detailOptimization in VHTS Satellite System Design with Irregular Beam Coverage for Non-Uniform Traffic Distribution
Ortiz Gomez, Flor de Guadalupe UL; Salas-Natera, Miguel A.; Martinez, Ramon et al

in Remote Sensing (2021), 13(13),

Very High Throughput Satellites (VHTS) have a pivotal role in complementing terrestrial networks to increase traffic demand. VHTS systems currently assume a uniform distribution of traffic in the service ... [more ▼]

Very High Throughput Satellites (VHTS) have a pivotal role in complementing terrestrial networks to increase traffic demand. VHTS systems currently assume a uniform distribution of traffic in the service area, but in a real system, traffic demands are not uniform and are dynamic. A possible solution is to use flexible payloads, but the cost of the design increases considerably. On the other hand, a fixed payload that uses irregular beam coverage depending on traffic demand allows maintaining the cost of a fixed payload while minimizing the error between offered and required capacity. This paper presents a proposal for optimizing irregular beams coverage and beam pattern, minimizing the costs per Gbps in orbit, the Normalized Coverage Error, and Offered Capacity Error per beam. We present the analysis and performance for the case study and compare it with a previous algorithm for a uniform coverage area. [less ▲]

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See detailOptimization of AlGaN/GaN HEMT performance
Javorka, P.; Wolter, M.; Alam, A. et al

in Proceedings of EDMO (2001)

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See detailOptimization of cost and capacity of broadband satellite system and resources management using Machine Learning techniques
Ortiz Gomez, Flor de Guadalupe UL

Doctoral thesis (2021)

Very High Throughput Satellite (VHTS) systems have an important role to play as a complement to future 5G terrestrial networks to meet the growing traffic demand. In the near future, VHTS systems are ... [more ▼]

Very High Throughput Satellite (VHTS) systems have an important role to play as a complement to future 5G terrestrial networks to meet the growing traffic demand. In the near future, VHTS systems are expected to reach a transmission capacity of 1 Tbps based on frequency reuse/polarization and multibeam coverage schemes. However, the traffic demand in the service area is not uniform and is also changing throughout the day. This means that with a traditional payload, some beams have insufficient resources and others have wasted resources. One solution to this problem is flexible payloads that allow satellite resources to be modified according to traffic demand. According to operators, the main challenges in Satellite Communications (SatComs) is to achieve new generation VHTS systems capable of satisfying traffic demand and to know how to manage resources in an optimal and autonomous way, thus emerging the problem of Dynamic Resource Management (DRM). With this in mind, this thesis studies the optimization for the design of new generation VHTS systems. The study is divided into two parts, satellites with fixed payload and satellites with flexible payload. For the first part, an optimization method is developed that minimizes the cost per Gbps in orbit and maximizes the capacity per beam, as a function of the number of beams, user G/T and annual availability. As an intermediate step between flexibility and a fixed system, the possibility of having a payload that provides coverage with irregularly sized beams depending on traffic demand is studied. While, for flexible systems, new optimization techniques belonging to Machine Learning are studied to manage resources dynamically and autonomously in the system. The results of this thesis provide new contributions for the design of new generations of VHTS broadband satellites and open a possibility for new research lines [less ▲]

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See detailOptimization of elastic properties and weaving patterns of woven composites
Abu Bakar, Ilyani Akmar; Kramer, Oliver; Bordas, Stéphane UL et al

in Composite Structures (2013), 100

Predictions of geometric characteristics and elastic properties of patterns in woven fabric composites are proposed based on unit cells. This study addresses the optimization of the elastic properties ... [more ▼]

Predictions of geometric characteristics and elastic properties of patterns in woven fabric composites are proposed based on unit cells. This study addresses the optimization of the elastic properties within woven fabric composite unit cells with multiple designs based on periodic boundary conditions and evolutionary algorithms. Furthermore, the study permits a reliable prediction of mechanical behavior of woven fabric composites unit cells in which the weave patterns are the variables. The models are treated as a single-ply for each weave pattern embedded in a matrix pocket. The analyzed weave patterns are created by TexGen, the simulation is done with ABAQUS. At the unit cell level, effective elastic properties of the yarn were estimated from Finite Element (FE) simulations using periodic boundary conditions. An evolutionary algorithm is adopted in optimizing the elastic properties of woven fabric composites with recombination and mutation operators. We present a parameter study to investigate the effect of various geometric parameters. Those parameters include the gap length, the shape of the yarn section, the yarn thickness, the constituent materials, the fiber volume fraction and the elastic properties. By examining this optimized model through the pre-determined parameters as mentioned above, an optimal parameter set for composite's performance can be properly selected. © 2013 Elsevier Ltd. [less ▲]

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See detailOptimization of gene transfer into neonatal rat cardiomyocytes and unmasking of cytomegalovirus promoter silencing.
Bauer, Sebastian; Maier, Sebastian K. G.; Neyses, Ludwig UL et al

in DNA and cell biology (2005), 24(6), 381-7

Cardiomyocytes are notoriously difficult to transfect using standard techniques unless viral vectors such as recombinant adenoviruses are used. Generation of recombinant adenoviruses is, however, a ... [more ▼]

Cardiomyocytes are notoriously difficult to transfect using standard techniques unless viral vectors such as recombinant adenoviruses are used. Generation of recombinant adenoviruses is, however, a complex and time-consuming procedure and not possible for every DNA construct. We therefore optimized DNA/polylysine/adenovirus complexing for efficient gene transfer in neonatal rat cardiomyocytes determining the critical parameters for this method. Importantly, not only the concentration of the various components but also the method used for plasmid purification is critical for this transfection technique. Cesium-chloride-purified DNA is inferior to anion-exchange methods for this purpose possibly because of altered ionic properties. In the second part of this study, we could demonstrate silent gene transfer into cardiomyocytes applying this optimized technique to plasmids encoding luciferase or beta-galactosidase cDNAs under the control of the cytomegalovirus immediate-early promoter. Phorbol myristate acetate and/or forskolin increased the amount of beta-galactosidase positive cells up to fivefold. Luciferase activity could even be increased as much as ninefold. These results demonstrate that the cytomegalovirus promoter is not maximally active in neonatal rat cardiomyocytes under basal conditions. In fact, a large proportion of cells is silently transfected and seems to express (an) inhibitor(s) of transcription from the CMV promoter that can be overcome by stimulation of cAMP- or protein kinase C-dependent pathways. [less ▲]

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See detailOptimization of handover procedure between IEEE 802.11 access points under vehicular mobility in an urban environment.
Mouton, Maximilien UL

Doctoral thesis (2015)

This thesis presents investigations performed on the IEEE 802.11 handover process in order to optimize the exploitation of exisiting IEEE 802.11 networks in vehicular communications. As IEEE 802.11 ... [more ▼]

This thesis presents investigations performed on the IEEE 802.11 handover process in order to optimize the exploitation of exisiting IEEE 802.11 networks in vehicular communications. As IEEE 802.11 networks operate over a short range, a mobile station embedded in a vehicle faces frequent handovers leading to long disconnections. This work focused on two objectives. The first was reducing the IEEE 802.11 handover impact such that mobile users are allowed to be fully connected while they stay within the area covered by IEEE 802.11 networks. The second was optimizing the AP selection process in order to comply with the always best connected paradigm by identifying the best access points and the best handover location. These researches lead to the development of a context-based predictive handover mechanism that considers vehicle’s trajectory, road topology, and network deployment information to decide the best handover location and candidate access points. [less ▲]

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See detailOptimization of hard fusion based spectrum sensing for energy-constrained cognitive radio networks
Maleki, Sina UL; Prabhakar Chepuri, Sundeep; Leus, Geert

in Physical Communication (2013), 9

The detection reliability of a cognitive radio network improves by employing a cooperative spectrum sensing scheme. However, increasing the number of cognitive radios entails a growth in the cooperation ... [more ▼]

The detection reliability of a cognitive radio network improves by employing a cooperative spectrum sensing scheme. However, increasing the number of cognitive radios entails a growth in the cooperation overhead of the system. Such an overhead leads to a throughput degradation of the cognitive radio network. Since current cognitive radio networks consist of low-power radios, the energy consumption is another critical issue. In this paper, throughput optimization of the hard fusion based sensing using the k-out-of-N rule is considered. We maximize the throughput of the cognitive radio network subject to a constraint on the probability of detection and energy consumption per cognitive radio in order to derive the optimal number of users, the optimal k and the best probability of false alarm. The simulation results based on the IEEE 802.15.4/ZigBee standard, show that the majority rule is either optimal or almost optimal in terms of the network throughput. [less ▲]

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See detailOptimization of load carrying capacity of antibiotic loaded hip interim-prothesis
Thielen, T.; Maas, S.; Zuerbes, A. et al

Scientific Conference (2007, March)

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See detailOptimization of logical networks for the modelling of cancer signalling pathways
De Landtsheer, Sébastien UL

Doctoral thesis (2019)

Cancer is one of the main causes of death throughout the world. The survival of patients diagnosed with various cancer types remains low despite the numerous progresses of the last decades. Some of the ... [more ▼]

Cancer is one of the main causes of death throughout the world. The survival of patients diagnosed with various cancer types remains low despite the numerous progresses of the last decades. Some of the reasons for this unmet clinical need are the high heterogeneity between patients, the differentiation of cancer cells within a single tumor, the persistence of cancer stem cells, and the high number of possible clinical phenotypes arising from the combination of the genetic and epigenetic insults that confer to cells the functional characteristics enabling them to proliferate, evade the immune system and programmed cell death, and give rise to neoplasms. To identify new therapeutic options, a better understanding of the mechanisms that generate and maintain these functional characteristics is needed. As many of the alterations that characterize cancerous lesions relate to the signaling pathways that ensure the adequacy of cellular behavior in a specific micro-environment and in response to molecular cues, it is likely that increased knowledge about these signaling pathways will result in the identification of new pharmacological targets towards which new drugs can be designed. As such, the modeling of the cellular regulatory networks can play a prominent role in this understanding, as computational modeling allows the integration of large quantities of data and the simulation of large systems. Logical modeling is well adapted to the large-scale modeling of regulatory networks. Different types of logical network modeling have been used successfully to study cancer signaling pathways and investigate specific hypotheses. In this work we propose a Dynamic Bayesian Network framework to contextualize network models of signaling pathways. We implemented FALCON, a Matlab toolbox to formulate the parametrization of a prior-knowledge interaction network given a set of biological measurements under different experimental conditions. The FALCON toolbox allows a systems-level analysis of the model with the aim of identifying the most sensitive nodes and interactions of the inferred regulatory network and point to possible ways to modify its functional properties. The resulting hypotheses can be tested in the form of virtual knock-out experiments. We also propose a series of regularization schemes, materializing biological assumptions, to incorporate relevant research questions in the optimization procedure. These questions include the detection of the active signaling pathways in a specific context, the identification of the most important differences within a group of cell lines, or the time-frame of network rewiring. We used the toolbox and its extensions on a series of toy models and biological examples. We showed that our pipeline is able to identify cell type-specific parameters that are predictive of drug sensitivity, using a regularization scheme based on local parameter densities in the parameter space. We applied FALCON to the analysis of the resistance mechanism in A375 melanoma cells adapted to low doses of a TNFR agonist, and we accurately predict the re-sensitization and successful induction of apoptosis in the adapted cells via the silencing of XIAP and the down-regulation of NFkB. We further point to specific drug combinations that could be applied in the clinics. Overall, we demonstrate that our approach is able to identify the most relevant changes between sensitive and resistant cancer clones. [less ▲]

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See detailOptimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying System
Bui, Van-Phuc; Nguyen, van Dinh UL; Nguyen, Hieu et al

in IEEE Communications Letters (2020), 24(03), 603-607

This letter considers a multi-pair decode-andforward relay network where a power-splitting (PS) protocol is adopted at the energy-constrained relay to provide simultaneous wireless information and energy ... [more ▼]

This letter considers a multi-pair decode-andforward relay network where a power-splitting (PS) protocol is adopted at the energy-constrained relay to provide simultaneous wireless information and energy harvesting (EH). To achieve higher efficiency of EH, we propose a new PS-based EH architecture at the relay by incorporating an alternating current (AC) computing logic, which is employed to directly use the wirelessly harvestedACenergyforcomputationalblocks.Underanonlinear EHcircuit,ourgoalistomaximizethefairnessofend-to-endrate amonguserpairssubjecttopowerconstraints,resultinginanonconvex problem. We propose an iterative algorithm to achieve a suboptimal and efficient solution to this challenging problem by leveraging the inner approximation framework. Numerical results demonstrate that the proposed algorithm outperforms the traditional direct current computing and other baseline schemes. [less ▲]

Detailed reference viewed: 202 (37 UL)
See detailOptimization of Strained Ga1-xInxAs/InP Heterostructures Towards High Channel Conductivity for HEMT Application
Meyer, R.; Hardtdegen, H.; Leuther, A. et al

in Proceedings of the 5th International Conference on InP and Related Compounds, Paris, France (1993)

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See detailOptimization of stress response through the nuclear receptor-mediated cortisol signalling network
Kolodkin, Alexey UL; Sahin, Nilgun; Phillips, Anna et al

in Nature Communications (2013), 4

It is an accepted paradigm that extended stress predisposes an individual to pathophysiology. However, the biological adaptations to minimize this risk are poorly understood. Using a computational model ... [more ▼]

It is an accepted paradigm that extended stress predisposes an individual to pathophysiology. However, the biological adaptations to minimize this risk are poorly understood. Using a computational model based upon realistic kinetic parameters we are able to reproduce the interaction of the stress hormone cortisol with its two nuclear receptors, the high-affinity glucocorticoid receptor and the low-affinity pregnane X-receptor. We demonstrate that regulatory signals between these two nuclear receptors are necessary to optimize the body’s response to stress episodes, attenuating both the magnitude and duration of the biological response. In addition, we predict that the activation of pregnane X-receptor by multiple, low-affinity endobiotic ligands is necessary for the significant pregnane X-receptor-mediated transcriptional response observed following stress episodes. This integration allows responses mediated through both the high and low-affinity nuclear receptors, which we predict is an important strategy to minimize the risk of disease from chronic stress. [less ▲]

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See detailAn optimization of terahertz local oscillators based on LT-GaAs technology
Mayorga, I. C.; Mikulics, M.; Schmitz, A. et al

in SPIE (2004), 5498 (2004)

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See detailOptimization of the Return Link Carrier Planning for a Constant Coding and Modulation Satellite Network
Lacoste, Clément UL; Maturo, Nicola UL; Chatzinotas, Symeon UL et al

in Frontiers in Communications and Networks (2021), 2

In this paper, we propose an approach to optimize the frequency plan and associated bandwidth allocation in the return link of a broadband satellite network, by exploring several design techniques for ... [more ▼]

In this paper, we propose an approach to optimize the frequency plan and associated bandwidth allocation in the return link of a broadband satellite network, by exploring several design techniques for carrier allocation plans. Since bandwidth is a limited resource in satellite telecommunications, the minimization of bandwidth usage is a core issue that satellite communication service providers must solve, in particular for networks using a constant coding and modulation plan, which lacks the flexibility found in newer satellite communication products and can be subject to hardware constraints. This problematic led us to raise the following question: how can the long term bandwidth requirement of the network be minimized, given a set of ground terminals, of Modulations and Codings, and of discrete bandwidths. In this document we formally define the long-term carrier allocation problem and analyze current practical solutions. We subsequently investigate two other potential solutions, found to be more bandwidth-efficient: one based on heuristics and another based on integer linear programming. Finally, we look at the impact of several parameters on the performance of those three methods. Overall we observed marginal reductions in bandwidth, however significant gains were reached for networks with small return links with low committed information rate, a case in which some constant coding and modulation networks could fall. We concluded that those networks could benefit from our methods and see a significant reduction in bandwidth, and subsequently operational costs, at low implementation costs. [less ▲]

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See detailOptimization of weighted individual energy efficiencies in interference networks
Matthiesen, Bho; Yang, Yang UL; Jorswieck, Eduard

in Proc. IEEE Wireless Communications and Networking Conference (2018, April)

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See detailAn Optimization-Based Iterative Learning Method for Anticipatory Network Traffic Control
Huang, Wei; Ma, Wanjing; Viti, Francesco UL et al

in Proceedings of the 16th COTA International Conference of Transportation Professionals (2016)

Detailed reference viewed: 121 (3 UL)