Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

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A Compact 3-Stage Pipelined Hardware Accelerator for Point Multiplication of Binary Elliptic Curves Over GF(2²³³) by Mohammad Mazyad Hazzazi, Muhammad Rashid, Sajjad Shaukat Jamal, Fahad Alblehai, Sameer Nooh, Mujeeb Ur Rehman

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Optimized Intelligent Localization Through Mathematical Modeling and Crow Search Algorithms by Tamer Ramadan Badawy, Nesreen I. Ziedan

“…The objective is to identify the most probable position within a designated search space. Anchored by a network of fixed points, the search area is initially defined. …”
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Rate optimization using low complex methods with reconfigurable intelligent surfaces by Saber Hassouna, Muhammad Ali Jamshed, Masood Ur Rehman, Muhammad Ali Imran, Qammer H. Abbasi

“…With the help of a developing technology called reconfigurable intelligent surfaces (RISs), it is possible to modify the propagation environment and boost the data rates of wireless communication networks. In this article, we optimized the phases of the RIS elements and performed a fair power allocation for each subcarrier over the full bandwidth in a single-input-single-output (SISO) wideband system where the user and the access point (AP) are provided with a single antenna. …”
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JCN: Joint Constraint-Based Human Pose Refinement Networks by Yuru Zhang, Jiayuan Zhao, Xiaodong Su, Hongyan Xu, Meijian Jin

“…2D human pose estimation has essential applications in traffic prediction and human-computer interaction. We propose a pose refinement network for refining human pose features to improve human pose detection accuracy. …”
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A Feedback-Assisted Inverse Neural Network Controller for Cart-Mounted Inverted Pendulum by ManMahendra Singh Daksh, Puneet Mishra

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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

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Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks by Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai

“…The utilization of heterogeneous acceleration hardware and scheduling of diverse cloud resources have become a focal point of considerable interest. However, these computing resources are often geographically distributed. …”
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NRAP-RCNN: A Pseudo Point Cloud 3D Object Detection Method Based on Noise-Reduction Sparse Convolution and Attention Mechanism by Ziyue Zhou, Yongqing Jia, Tao Zhu, Yaping Wan

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SIMULATION AND OPTIMIZATION OF POROUS BONE-LIKE MICROSTRUCTURES WITH SPECIFIC MECHANICAL PROPERTIES by Adrian Wit, Sebastian Wronski, Jacek Tarasiuk

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A Deep Neural Network-Based Approach to Media Hotspot Discovery by Pan Luo

“…Then, the K-means algorithm is optimized for the initial point selection problem, and a clustering algorithm based on the maximum density selection method in the moving range is proposed. …”
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An area coverage algorithm for wireless sensor networks based on differential evolution by Ning-ning Qin, Jia-le Chen

“…The proposed algorithm maximizes the lifetime of wireless sensor networks to monitor the area of interest. To this end, we translate continuous area coverage into classical discrete point coverage, so that the optimization process can be realized by wireless sensor networks. …”
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Control system architecture of an intelligent agent based on a semiotic network by M. A. Rovbo, P. S. Sorokoumov

“…The behavior of a single agent with the proposed method is investigated in a foraging task setting using a computer simulation. Different goals’ priorities optimization determines the performance of the agent.Agent’s freedom of action is limited by the priorities and the need for survival. …”
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Outage performance analysis of IRS-aided cognitive satellite-terrestrial network by Min LIN, Huaibo GUO, Xiaoyu LIU, Lue HAN, Miaomiao TAN, Lyuxi YANG

“…The outage performance of intelligent reflecting surface (IRS) aided cognitive satellite-terrestrial network was analyzed.Firstly, for the scenario where the point beam was enabled at the satellite to serve the earth station, and the IRS and non-orthogonal multiple access (NOMA) were deployed at the base station to expand the communication range and serve multiple users, respectively, under the condition that cognitive radio technology was employed to enable spectrum sharing between the satellite primary network and the terrestrial secondary network, an optimization problem was established to maximize the average signal-to-noise ratio of terrestrial users.Secondly, a low complexity IRS phase shift design was proposed by using channel state information based on the angle domain, and the phase shift matrix of IRS was obtained.Then, the closed-form expressions of outage probabilities of terrestrial users were derived when users were static and moving, respectively.Furthermore, the asymptotic outage probability formulas at high signal-to-noise ratio were also derived to analyze the system performance.Finally, the correctness of derivation and the influence of main parameters on outage performance were verified by computer simulations.…”
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Enhancing geometric modeling in convolutional neural networks: limit deformable convolution by Wei Wang, Yuanze Meng, Han Li, Guiyong Chang, Shun Li, Chenghong Zhang

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Quantum Neural Networks for Solving Power System Transient Simulation Problem by Mohammadreza Soltaninia, Junpeng Zhan

“…We further explore various configurations, including time intervals, training points, and the selection of classical optimizers, to optimize the solving of DAEs using QNNs. …”
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ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks by Aditya Anirudh Jonnalagadda, Uppugunduru Anil Kumar, Rishi Thotli, Satvik Sardesai, Sreehari Veeramachaneni, Syed Ershad Ahmed

“…The posit number system aims to be a drop-in replacement of the existing IEEE floating-point standard. Its properties- tapered precision and high dynamic range, allow a smaller size posit to almost match the performance of a much larger size floating-point in representing decimals. …”
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Cache Assignment for a Flexible Mobile User in Wireless Heterogeneous Networks by Mohammad Hossein Amerimehr, Parisa Eslami, Nahid Amani, sara Efazati

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Spectrum Sensing Using Fast Slepian Transform for Cognitive Radio Networks by Aman Kumar, Indrasen Singh, Dilip Kumar Choudhary

“…Additionally, we introduce a computational efficiency metric based on floating-point operations (FLOPs) to evaluate the energy cost of detection. …”
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Cutting-Edge AI for Healthcare: Optimized Pneumonia Diagnosis on MAX78000 Microcontroller by Poola Rahul Gowtham, Chodavarapu Tejaswi, Yellampalli Siva Sankar

“…The methodology includes the design and optimization of a neural network classification model for a given pneumonia classifier within the scope of the study. …”
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