Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing by Li Wang, Feng Chen, Yujia Hu, Zhiyao Zheng, Kexin Zhang

“…As power system equipment gradually ages, the automated disassembly of transformers has become a critical area of research to enhance both efficiency and safety. This paper presents a transformer disassembly system designed for power systems, leveraging multimodal perception and collaborative processing. …”
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An eleven level single source switched capacitor boost inverter with reduced component stress and limited inrush current by Alireza Poulad, Majid Hosseinpour, Mojtaba Najafi, Abdolrasool Ghasemi

“…Abstract One of the most important advanced and efficient technologies in converting DC electrical energy to AC is switched-capacitor multilevel inverters with reduced charging current, which enable output voltage boosting. …”
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Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies by Basha Shaik Asif, Zia Amir, B Kirankumar, S Chandra Sekhar, S Sumithra, R Monisha Jothi

“…Through computational efficiency enhancement, explainable AI methodologies application, along with Path-independent adaptation to diverse asset classes, this model aims to formulate richer, ambient, and inclusive AI environments for the benefit of sustainability. …”
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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

“…The model is highly computational and energy efficient, incorporating path-breaking Edge Computing and Real-Time Stream Processing paradigms, facilitating low-latency identification of highly dynamic advanced attacks like APTs and DDoS. …”
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Energy optimization and digitization of the PV energy balance between production and consumption by Abdellatif Hraich, Ali Haddi

“…Our primary objective is to demonstrate that the Sun Path Tracker, either with two or one degree of freedom, is more energy-efficient than fixed solar panels. …”
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A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

“…To overcome these challenges, we propose a novel segmentation approach, named PolarVoting, which combines the minimal path encoding rich geometric features and CNNs which can provide efficient initialization. …”
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GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications by Jialing Yan, Gang Hu, Heming Jia, Abdelazim G. Hussien, Laith Abualigah

“…The experimental results show that GPSOM performs significantly better than traditional algorithms on the Combinatorial Evolutionary Computing (CEC) 2020 benchmark test set (hereinafter referred to as 20TS), and its reliability and efficiency have been demonstrated in practical applications, such as 15 engineering examples, vehicle cruise control, and robot path optimization. …”
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An environmental channel throughput and radio propagation modeling for vehicle-to-vehicle communication by Mohammed Abdulhakim Al-Absi, Ahmed Abdulhakim Al-Absi, TaeYong Kim, Hoon Jae Lee

“…The existing radio propagation path loss models are designed by using mean additional attenuation sophisticated fading models. …”
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The impact of artificial intelligence capabilities on the sustainability with the mediating role of green innovation in the Jordanian hotels sector by Hassan N. Rawash, Maha Alkawaja, Marwan Albadarneh, Khaldoon Jahmani, Ammar Sala

“…The measurement model applied to analyze the reliability and reliability of the model, the path coefficient in the structural equation model used to test the study hypotheses. …”
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Photoacoustic Spectroscopy Combined with a Multipass Circular Cell to Detect Low Concentrations of Ammonia by Oscar E. Bonilla-Manrique, Alejandro Pérez Gonzalez-Banfi, Jorge Viñuela Pérez, Gabriele Dessena

“…This study presents the development and evaluation of a near-infrared PAS system using a 1532 nm semiconductor laser and a multipass cell (MPC) designed to enhance the optical path and thereby improve the detection of ammonia (NH₃). …”
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Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment by Giovanni Santacroce, Irene Zammarchi, Olga Maria Nardone, Ivan Capobianco, Miguel Puga-Tejada, Snehali Majumder, Subrata Ghosh, Marietta Iacucci

“…AI is poised to revolutionise IBD management by advancing towards a more personalised and efficient care model, while the path to full clinical implementation may be lengthy. …”
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Task Scheduling with Mobile Robots—A Systematic Literature Review by Catarina Rema, Pedro Costa, Manuel Silva, Eduardo J. Solteiro Pires

“…Despite these advancements, challenges remain, including the integration of path planning and obstacle avoidance in the task scheduling problem, which is crucial for making these solutions stable and reliable for real-world applications and scaling for larger fleets of robots.…”
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Adaptive Grasp Pose Optimization for Robotic Arms Using Low-Cost Depth Sensors in Complex Environments by Aiguo Chen, Xuanfeng Li, Kerui Cen, Chitin Hon

“…This paper presents an efficient grasp pose estimation algorithm for robotic arm systems with a two-finger parallel gripper and a consumer-grade depth camera. …”
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Three-dimensional ground-penetrating radar-based feature point tensor voting for semi-rigid base asphalt pavement crack detection by Zhiyong Huang, Guoyuan Xu, Xiaoning Zhang, Bo Zang, Huayang Yu

“…In this paper, the radar image is gridded by the ECA-ResNet network, and the center point of the detected crack grid is used as the feature point, and the continuous path of the crack is reconstructed by the tensor voting algorithm. …”
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Energy optimization and age of information enhancement in multi‐UAV networks using deep reinforcement learning by Jeena Kim, Seunghyun Park, Hyunhee Park

“…By formulating the inter‐UAV network path planning problem as a Markov decision process, a deep Q‐network (DQN) strategy is applied to enable real‐time decision making that accounts for dynamic environmental changes, obstacles, and UAV battery constraints. …”
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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…In this paper, we present the XTNSR model, a novel multi-path network architecture that combines Local feature window transformers (LWFT) with Xception blocks for single-image super-resolution. …”
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Unveiling the social fabric through a temporal, nation-scale social network and its characteristics by Jolien Cremers, Benjamin Kohler, Benjamin Frank Maier, Stine Nymann Eriksen, Johanna Einsiedler, Frederik Kølby Christensen, Sune Lehmann, David Dreyer Lassen, Laust Hvas Mortensen, Andreas Bjerre-Nielsen

“…We show how to aggregate and combine the layers, and how to efficiently compute network measures such as shortest paths in large administrative networks. …”
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Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes by Areej Althabatah, Mohammed Yaqot, Brenno Menezes, Laoucine Kerbache

“…<i>Conclusion</i>: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain management.…”
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Design of a Dual-Function Autonomous Disinfection Robot with Safety Filter-Based Motion Control by Yuning Cao , Zehao Wu , I-Ming Chen , Qingsong Xu 

“…To tackle this problem, Hamilton–Jacobi (HJ) reachability is adopted to construct a safety filter for motion control, which guarantees that the disinfection path taken by the robot is collision-free without severely compromising the optimality of control actions. …”
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Dynamic Sharding and Monte Carlo for Post-Quantum Blockchain Resilience by Dahhak Hajar, Nadia Afifi, Imane Hilal

“…This paper provides light on the potential of adaptive blockchain designs to address major scalability and security issues, opening the path for quantum-resilient systems.…”
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