Deep Reinforcement Learning-Graph Neural Networks-Dynamic Clustering triplet for Adaptive Multi Energy Microgrid optimization by T. Kaal, A. Rafiee

“…However, incorporating spatial relationships into DRL action space significantly increases computational demands. In line with this, we have introduced a novel method that integrates DRL, Graph Neural Network (GNN) and dynamic clustering to optimize microgrid operations. …”
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Virtual Cluster Partitioning Method of Active Distribution Networks Using Quantum Particle Swarm Optimization and Sector Search by Wei Liu, Yifan Tong, Xinran Xing, Xi Chen, Bo Hu, Qian Sun, Yufei Wang, Huaxin Li, Huidong Guo

“…Hence, this study proposes a virtual cluster partitioning model for active distribution networks using a quantum particle swarm optimization (QPSO) algorithm and sector search, aiming to achieve autonomy within clusters and coordination between clusters. …”
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Neural network implementation of model predictive control with stability guarantees by Arthur Khodaverdian, Dhruv Gohil, Panagiotis D. Christofides

“…Once designed, this MPC can be used to generate a dataset of various state-space points and their resulting immediate optimal control actions. …”
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Research on Unmanned Aerial Vehicle Emergency Support System and Optimization Method Based on Gaussian Global Seagull Algorithm by Songyue Han, Mingyu Wang, Junhong Duan, Jialong Zhang, Dongdong Li

“…This system leverages 5G edge computing technology to provide high-speed and flexible network access along with elastic computing power support, reducing the complexity of data fusion across heterogeneous networks. …”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…To address these issues, this study proposed an improved lightweight YOLO11n network and an optimized region tracking-counting method, which estimates the quantity of tomatoes at different maturity stages. …”
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A novel heuristic Morlet wavelet neural network design for the painlevé equation-II arising in nonlinear optics by Sundas Faisal, Zulqurnain Sabir, Samra Urooj Khan, Muhammad Aamir, Krzysztof A. Cyran

“…An error based fitness function is constructed using the sense of differential model and its initial or boundary conditions, which is further optimized through the hybrid computing terminologies of the global search genetic algorithm (GA) and local search interior-point algorithm (IPA), i.e., GA-IPA. …”
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LANA-YOLO: Road defect detection algorithm optimized for embedded solutions by Paweł TOMIŁO

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Transfer Learning-Empowered Physical Layer Security in Aerial Reconfigurable Intelligent Surfaces-Based Mobile Networks by Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, Beongku An

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SP-Pillars: An Efficient LiDAR 3D Objects Detection Framework With Multi-Scale Feature Perception and Optimization by Tingshuai Chen, Ye Yuan, Bingyang Yin, Yuanhong Liao

“…To address this challenge, this paper proposes a 3D object detection algorithm SP-Pillars that can effectively learn point cloud features. Firstly, a Pillar Feature Weighted Network (PFWNet) is proposed for processing point cloud information, which divides the point cloud into pillar structures and uses SPCV feature attention network to focus on its multi-level feature information. …”
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Unlocking the potential of secure communications: A comprehensive systematic review of the network design model for topology control and routing synergy in wireless sensor networks... by Taher Alzahrani, Saima Rashid

“…The study demonstrates that the suggested approach expresses chaotic behaviors by the stability of fixed points. Dynamics are implemented for researching the behavior of network topologies in delayed parameters. …”
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Simulation Modelling of Multiservice Switched Networks Carrying Unicast and Multicast Traffic with Priorities by Nowak Błażej, Zwierzykowski Piotr

“…Today’s computer and telecommunications networks, irrespective of the technical solutions and technologies used to build them, are multi-service in nature. …”
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Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model by Xiaoyu Song, Zhizhong Liu, Lingqiang Meng, Dianhui Chu, Jian Yu, Quan Z. Sheng

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Distributed MIMO Networks With Rotary ULAs for Indoor Scenarios Under Rician Fading by Eduardo N. Tominaga, Onel L. A. Lopez, Tommy Svensson, Richard D. Souza, Hirley Alves

“…Considering a spatially correlated Rician fading model, the optimal angular position of the RULAs is jointly computed by the central processing unit using particle swarm optimization as a function of the location of the active devices. …”
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Microstrip Patch Antenna Design Using a Four-Layer Feed Forward Artificial Neural Network Trained by Levenberg-Marquardt Algorithm by Jitu Prakash Dhar, Maodudul Hasan, Eisuke Nishiyama, Ichihiko Toyoda

“…This study proposes an efficient Artificial Neural Network (ANN) model for predicting the dimensions and feed point of microstrip patch antennas with three types of geometrical shape. …”
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Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model by Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, Ghassan Ezzulddin Arif

“…The proposed technique utilizes artificial neural networks to model equations and optimize error functions using global search with a genetic algorithm (GA) and fast local convergence with an interior-point algorithm (IPA). …”
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Reinforcement Learning for Stability-Guaranteed Adaptive Optimal Primary Frequency Control of Power Systems Using Partially Monotonic Neural Networks by Hamad Alduaij, Yang Weng

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Synergizing neural networks with multi-objective thermal exchange optimization and PROMETHEE decision-making to improve PCM-based photovoltaic thermal systems by Yongxin Li, Ali Basem, As'ad Alizadeh, Pradeep Kumar Singh, Saurav Dixit, Hanaa Kadhim Abdulaali, Rifaqat Ali, Pancham Cajla, Husam Rajab, Kaouther Ghachem

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Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

“…Traditional heuristics and metaheuristics struggle with generalization, efficiency, and adaptability, as they rely on predefined rules or require extensive computational effort for each new problem instance. In this paper, we propose a neural-driven constructive heuristic that leverages a lightware neural network trained via black-box optimization to dynamically evaluate item placement decisions. …”
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Spike-RISC: Algorithm/ISA Co-Optimization for Efficient SNNs on RISC-V by Ipek Akdeniz, Sandy A. Wasif, Paul R. Genssler, Hussam Amrouch

“…This paper proposes Spike-RISC, a holistic algorithm/instruction set architecture (ISA) co-optimization for efficient SNN inference. Our key algorithm optimizations include quantizing the weights to just eight bits and exploiting the network’s sparsity in hardware and software. …”
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Geometrically aware transformer for point cloud analysis by Siyuan Chen, Zhiwei Fang, Siyao Wan, Ting Zhou, Chunlin Chen, Meng Wang, Qianming Li

“…First, PointGA expands the original 3D coordinates into various geometric information, introducing more prior knowledge into the network. …”
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