Multi-period and multi-objective stock portfolio modeling considering cone constraints by Masoomeh Zeinalnezhad, Zohreh Ebrahimi, Towhid Pourrostam

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Coordinated beamforming design in downlink multi-cell multi-user wireless networks by Pei-zhong XIE, Bao-yu ZHENG, Wen-jing YUE

“…To obtain the good sum-rate performance in multi-cell multi-user wireless networks with frequency reuse,coordinated beamforming design problem of co-channel interference mitigation was studied.Theoretical analysis results with the game theory show that,the collaborative beamforming vector of the optimal performance is a linear combination of selfishness and altruism strategy.A beamforming vector iteration algorithm to maximize sum-rate was presented,and estimation method about composite coefficient based on the statistic of channel state information was proposed.Finally， the results of simulation assess the performance of the algorithm and show convergence of the proposed algorithm.…”
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Resource allocation algorithm for the downlink of multi-carrier and multi-user NOMA systems by Jie YAN, Rongfang SONG

“…Non-orthogonal multiple access (NOMA) technology had received considerable attention as a candidate technology for 5G cellular systems.The resource allocation problem in multi-carrier and multi-user downlink NOMA systems were studied with the goal of optimizing system throughput.In the solution of the problem,the linear water-filling power allocation was used between subcarriers as the fractional transmit power allocation algorithm was used between the superposed users,so that system throughput could be improved.Meanwhile,the concept of time slot was adopted in the design of NOMA transmission scheme,in order to be able to schedule more users in the scenario where the number of cellcenter users and celledge users were not equal.The whole time period was divided into two time slots.On the basis of ensuring the fairness of users,different user pairing groups were implemented in different time slots so as to fully utilizing the entire resource to improve system throughput.The simulation results show that this method can transmit more bits under the same transmit power comparing with traditional non-orthogonal multiple access(NOMA) and OFDMA.…”
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Multi scale multi attention network for blood vessel segmentation in fundus images by Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB). …”
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Multi‐precision binary multiplier architecture for multi‐precision floating‐point multiplication by Geetam Singh Tomar, Marcus Llyode George, Abhineet Singh Tomar

“…A mantissa similarity investigator (MSI)–interfaced multi‐precision binary multiplier architecture is developed and can be used in data‐intensive applications that require variable precision, high throughput and low delay. …”
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Multi-Objective Dynamic Path Planning with Multi-Agent Deep Reinforcement Learning by Mengxue Tao, Qiang Li, Junxi Yu

Subjects: “…multi-agent reinforcement learning…”
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Throughput optimization of multi-hop and multi-path cooperation in WPSNs with hardware noises by Lina Yuan, Huajun Chen, Jing Gong

“…This paper proposes a novel multi-path and multi-hop wireless powered sensor network in case of hardware impairment, constituting an energy node, one source node, single sink node, and a series of distributed relay sensor nodes, where the energy node transmits wireless energy to all terminals in the first stage, and the relay sensor nodes relay the information of the source node to the sink node in the second stage. …”
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Classification on Grade, Price, and Region with Multi-Label and Multi-Target Methods in Wineinformatics by James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen

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Task Scheduling Framework of Multi-stage and Multi-strategy for Remote Sensing Satellites by Qunbin YUE, Xijie SHANG, Xiaoyong LIN, Wei FU

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Fuzzy Reliability Optimal Design of Multi-stage Planetary Gear Train with Multi-objective by Hao Liping

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INSIHGT: an accessible multi-scale, multi-modal 3D spatial biology platform by Chun Ngo Yau, Jacky Tin Shing Hung, Robert A. A. Campbell, Thomas Chun Yip Wong, Bei Huang, Ben Tin Yan Wong, Nick King Ngai Chow, Lichun Zhang, Eldric Pui Lam Tsoi, Yuqi Tan, Joshua Jing Xi Li, Yun Kwok Wing, Hei Ming Lai

“…We anticipate that INSIHGT can form the foundations for 3D spatial multi-omics technology development and holistic systems biology studies.…”
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Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning by Biao ZHANG, Ximing WANG, Yifan XU, Wen LI, Hao HAN, Songyi LIU, Xueqiang CHEN

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Multi-objective design of multi-material truss lattices utilizing graph neural networks by Ramón Frey, Michael R. Tucker, Mohamadreza Afrasiabi, Markus Bambach

“…Beyond geometric flexibility, multi-material AM further expands design possibilities by combining materials with distinct characteristics. …”
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Video transmission strategy in multi-rate and multi-node IEEE 802.11 networks by Liang CHEN, Xiang GU, Jin WANG

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A Multi-Objective Path-Planning Approach for Multi-Scenario Urban Mobility Needs by Zhaohui Wang, Meng Zhang, Shanqing Liang, Shuang Yu, Chengchun Zhang, Sheng Du

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BEARING FAULT DIAGNOSIS METHOD BASED ON MULTI⁃SCALE AND MULTI⁃PATH ENSEMBLE NETWORK by QI BoWei, LI YuanYuan, SONG LiYuan

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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…Implementation The codes are available at https://github.com/DMnBI/MultiChem .…”
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Designing a multi-period multi-stage supply chain network under uncertainty by Maryam Hemmati, Masoud Rabbani, Mohammad Reza Mehregan

“…To optimize this supply chain, a multi-objective Mixed Integer Linear Programming (MILP) model has been developed to formulate the problem. …”
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Multi-cell multi-user downlink beam forming design considering transceiver impairment by Can-feng XIA, Shi-wen HE, Yong-ming HUANG, Hai-ming WANG, Lv-xi YANG

“…Multi-cell multi-user downlink beamforming schemes considering transceiver impairments were developed,with the objective of minimizing the maximum mean square error (MSE) and the sum of MSE of all users.The optimiza-tion problem was transformed into a second-order cone programming(SOCP) standard form,and a hierarchical iterative algorithm was developed to solve the original problem.Compared with the traditional beamforming methods developed for ideal transceivers,numerical results show that our proposed optimization algorithms greatly reduce the impact of im-pairments and improve the system performance.…”
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