Formulating and Solving Routing Problems on Quantum Computers by Stuart Harwood, Claudio Gambella, Dimitar Trenev, Andrea Simonetto, David Bernal Neira, Donny Greenberg

“…The ongoing evolution of quantum computing hardware and the recent advances of quantum algorithms (i.e., VQE, QAOA, and ADMM) for mathematical programming make decision-making for routing problems an avenue of research worthwhile to be explored on quantum devices. …”
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Comprehensive Research on Energy Saving Synergy Optimization and Optimal Real-time Control of Hybrid Electric Mining Trucks by Li Hongliang, Zhang Guojing, Fan Ping

“…This study takes the hybrid electric mining truck as a research object, establishes the mathematical model of the whole vehicle, takes reducing fuel consumption as the goal, establishes a collaborative optimization model that comprehensively considers the interaction between transmission system parameters and energy management strategies, and combines particle swarm optimization (PSO) algorithm and dynamic programming (DP) algorithm to build a two-layer interactive optimization algorithm to eliminate the interaction between transmission system parameters and energy management strategies. …”
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Research on Unmanned Aerial Vehicle Path Planning for Carbon Emission Monitoring of Land-Side Heavy Vehicles in Ports by Xincong Wu, Zhanzhu Li, Xiaohua Cao

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Research on Mitigating Atmosphere Turbulence Fading by Relay Selections in Free-Space Optical Communication Systems with Multi-Transceivers by Xiaogang San, Zuoyu Liu, Ying Wang

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Research on computationally generative design of woven braced structure based on fiber composite material in architectural design industry by Peiqi Xu, Yiming Liu, Yafan Zhang, Nianxiong Liu

“…With the intervention of computer algorithm-assisted design in the realm of contemporary architectural design, architectural spatial forms and corresponding design methods have improved significantly. …”
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Research on Network Handover Based on User Movement Prediction in Visible Light Communication and Wi-Fi Heterogeneous Networks by Chenghu Ke, Mengfan Wang, Huanhuan Qin, Xizheng Ke

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Research on collision avoidance path planning method for mining and anchoring equipment in narrow and restricted space of tunneling laneways by Wenjuan YANG, Ran ZHANG, Xuhui ZHANG, Sihao TIAN, Zeyao WANG, Xili ZHENG, Zhiteng REN, Jicheng WAN, Yuyang DU, Hanbing ZHANG

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Retracted: Research on GNSS-Assisted Low-Cost INS Combined Navigation Moving Base Initial Alignment Technique by Mengbo Sun, Jian Huang, Pengcheng Hu, Xiaohui Song, Zhu Li

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Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages by Željko NEDELJKOVIĆ, Milana MILOŠEVIĆ, Željko ĐUROVIĆ

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The AI Triple Whammy by Deepak P

“…This suggests that effectively developing responsible and convivial gig models would require not just innovations in governance and administration, but also technological research for the development of new and appropriate algorithms. …”
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CGNLib: A Python library for Girvan–Newman community detection with customizable node-based centrality metrics by T. Punnapathiran, C. Angsuchotmetee, P. Kaewkarndee, K. Lavangnananda

“…CGNLib is a Python library designed to enhance the performance of community detection in networks using the Girvan–Newman algorithm. Traditional implementations of this algorithm typically rely solely on edge betweenness centrality, limiting the potential for optimization. …”
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Research on obstacle avoidance for aerial work vehicle booms with light arrays based on an improved gradient projection method by Yi HUANG, Lei DENG, Kangyi DENG, Qin SHU, Guangan REN, Zhihong ZHOU

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action-rules: GPU-accelerated Python package for counterfactual explanations and recommendations by Lukáš Sýkora, Tomáš Kliegr

“…The action-rules package provides an efficient method for mining action rules using the Action-Apriori algorithm, a modification of the traditional Apriori algorithm tailored specifically for action rule mining. …”
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A computation offloading scheme for energy consumption optimization in Internet of vehicles by Wenxuan GAO, Xinjie YANG

“…In Internet of vehicles (IoV), vehicle-oriented applications are generally computation-intensive and latency-sensitive.Introducing idle computing resources from mobile vehicles as a supplement to network computing power can effectively alleviate the load pressure on edge servers.The problem of task allocation for edge computation offloading in the context of IoV environment were researched.By fully leveraging the combined computing resources of roadside units (RSU), user vehicles, and mobile vehicles within the RSU service range, a computation offloading strategy based on the sparrow search algorithm was proposed and referred to as sparrow search based computation offloading scheme (S²COS), aiming to optimize the overall system energy consumption.In addition, this strategy fully taked into account practical network issues such as service time constraints caused by vehicle mobility and the potential occurrence of computation node failures.The simulation results demonstrate that S²COS can meet the latency requirements for computation-intensive and latency-sensitive tasks, while significantly reducing system energy consumption.…”
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A Randomized Q-OR Krylov Subspace Method for Solving Nonsymmetric Linear Systems by Gérard Meurant

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Research on power flux-density at the earth’s surface produced by emissions from the steerable beam of LEO constellation system by Ying HUANG, Wei LI, Chen JIAN, Kang YAN

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Heat Therapy for Musculoskeletal Pain Conditions: Actionable Suggestions for Pharmacists from a Panel of Experts by Flavia Nossa, Massimiliano Franco, Alberto Magni, Emanuela Raimondo, Giuseppe Ventriglia, Fabrizio Gervasoni

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Artificial intelligence: development in Russia and main beneficiaries by J. A. Konopleva, O. N. Pakova, R. Yu. Grigoryan

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Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features by Hao Wu, Dan Tang, Yuan Cai, Chaowen Zheng

“…The experimental results show that the algorithm has a high recognition rate for cable early fault classification, and the least mean square algorithm optimized by the adaptive gradient method is more noise-resistant compared with other optimization methods.…”
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Predicting Online Learners’ Performance Through Ontologies: A Systematic Literature Review by Safa Ridha Albo Abdullah, Ahmed Al-Azawei

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