IntelliGrid AI: A Blockchain and Deep-Learning Framework for Optimized Home Energy Management with V2H and H2V Integration by Sami Binyamin, Sami Ben Slama

“…V2H enables electric vehicles to power households during peak periods, reducing the strain on the grid. …”
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Enhanced UAV Detection and Classification With Birds Using NLFM Pulse-Doppler Radar by Ju-Hong Park, Yoo-Ho Jang, Sang-Hoon Kang, He-Won Jung, Seong-Ook Park

“…Furthermore, a simple clutter classification algorithm is proposed to classify signals containing micro-Doppler components, such as UAVs or birds, from clutter. …”
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Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence by May Alrasheed, Mohamed Jmali, Thouraya Hamdi

“…Therefore, ant colony algorithms are perfect for manufacturers pursuing cost reduction, improved product quality and facilitated production processes. …”
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Hardware and software complex for operational management of a flexible site of highly efficient assembly production by V. Smolij, N. Smolij, M. Shvydenko, S. Voloshyn

“…The goal of the work was to create an effective hardware and software complex for modelling the process of assembling objects and their components (using the example of power cells), which took into account the structure and parameters of production modules, transport and warehouse systems, allowed generation of initial plans and used Petri nets to determine scenarios for operational management of the specified production process. …”
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River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

“…Our experimental findings are compelling: LR-DETR achieves a 5% increase in mean Average Precision (mAP) at an Intersection over Union (IoU) threshold of 0.5, a 25.8% reduction in parameter count, and a 22.8% decrease in GFLOPs, compared to the RT-DETR algorithm. …”
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Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing by Huabing Yan, Hualong Huang, Zijia Zhao, Zhi Wang, Zitian Zhao

“…The simulation results demonstrate that our approach significantly outperforms conventional deep reinforcement learning methods in convergence and system cost reduction compared to baseline algorithms.…”
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An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…Parkinson’s disease (PD) is a chronic neurological disorder caused by a reduction in dopamine levels in the brain. Early diagnosis is crucial for effective treatment. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Non-intrusive load monitoring (NILM) of residential houses is an important research content of the user demand side of smart grids, and the energy consumption analysis and power consumption management of residential loads are key steps in achieving energy conservation, emission reduction, and sustainable development. …”
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基于粗糙集与神经网络的齿轮箱故障诊断 by 刘慧玲, 潘宏侠, 王爱玉

“…A method of combining the rough sets and neural network based on the condition attributes discretization and reduct ion algorithm is proposed to fault diagnosis. …”
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Hybrid Electric Propulsion Design and Analysis Based on Regional Aircraft Mission by Wenjuan Shan, Shengze Bao, Shixuan Lin, Le Kang

“…Hybrid propulsion systems have become a focal point of low-carbon aviation research due to their advantages in energy savings, emissions reduction, and noise abatement. This study develops an integrated design methodology for hybrid propulsion systems for aircraft, incorporating multidisciplinary algorithms to establish an overall performance model. …”
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Distribution Generation Network Arrangement by Capacitor Placement and Sizing in Renewable Energy Sources with Uncertainties Based on Self-adaption Kho-Kho Optimizer by Lu Xingxing

“…Post-optimization results indicated a reduction in power loss costs from 4.11 × 10^5 to 1.05 × 10^5 units, representing a 25.54% decrease. …”
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Weighting Optimization for Fuel Cell Hybrid Vehicles: Lifetime-Conscious Component Sizing and Energy Management by Xuanyu Xiao, Chen Shu, Huaiwei Dong, Yujun Tang, Jinfeng Feng, Hao Yuan, Shuzhan Bai, Sipeng Zhu, Guoxiang Li

“…Additionally, the battery price affects the weighting factor, indicating that future reductions in power source costs will shift focus away from system durability to fuel economy in FCHV optimization. …”
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Chaotic chimp-mountain gazelle optimized FOPID control for frequency regulation in islanded airport microgrids with heterogeneous energy systems by Odelu P., Chandan Kumar Shiva, Sachidananda Sen, Vedik Basetti, Chandra Sekhar Reddy

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A multi-objective master–slave methodology for optimally integrating and operating photovoltaic generators in urban and rural electrical networks by Jhony Andrés Guzmán-Henao, Rubén Iván Bolaños, Brandon Cortés-Caicedo, Luis Fernando Grisales-Noreña, Oscar Danilo Montoya, Jesús C. Hernández

“…The results demonstrated the effectiveness of these algorithms. NSGA-II achieved the best performance, with reductions of 32.84% in energy losses and 42.41% in operating costs (with standard deviations of 0.21% and 0.39%, respectively) for the urban system; and reductions of 21.87% in energy losses and 43.36% in operating costs (with standard deviations of 0.07% and 0.24%, respectively) for the rural system. …”
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Towards quantitative assessment of cerebrovascular autoregulation in human neonates using ultrafast ultrasound imaging by Nikan Fakhari, Julien Aguet, Alison Howell, Minh Nguyen, Luc Mertens, Lynn Crawford, Maelys Venet, Christoph Haller, David Barron, John G. Sled, Jérôme Baranger, Olivier Villemain

“…This study aims to use UPD combined with an algorithm for the discrimination of arteries and veins to monitor CAR during DH-CPB in neonates. …”
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Assessing the Risk of Natural and Socioeconomic Hazards Caused by Rainfall in the Middle Yellow River Basin by Yufeng Zhao, Shun Xiao, Xinshuang Wu, Shuitao Guo, Yingying Yao

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THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…To reduce the output volume, the RLE algorithm and integral arithmetic coding are adapted to the new structure of the input data. …”
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Delivering Dual Polarization-Division-Multiplexing Millimeter-Wave Signals at W-Band by One Pair of Antennas by Yifan Chen, Jiangnan Xiao, Ze Dong

“…We propose and experimentally demonstrate a novel seamless fiber-wireless-integration system (FWI) to deliver up to 120-Gb/s (9∼15-Gbaud) polarization-division-multiplexing 16-ary quadrature-amplitude-modulation (PDM-16QAM)/40-Gb/s (5∼12-Gbaud) quadrature-phase-shift-keying (PDM-QPSK) signal over 10-km/20-km single-mode fiber-28 (SMF-28) and 0.6-cm/13-m, 300-m and 1-km 2 × 2 multi-input multi-output (MIMO) wireless link at W-band, realized by antenna polarization multiplexing and photonic millimeter-wave (mm-wave) generation techniques. With reduction of system size-based hardware complexity and power consumption, it is more convenient for the system adopting antenna polarization multiplexing to be installed and maintained. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…This study proposes a systematic framework, termed VMD-RUN-Seq2Seq-Attention, for noise reduction, outlier detection, and wind speed prediction by integrating Variational Mode Decomposition (VMD), the Runge–Kutta optimization algorithm (RUN), and a Sequence-to-Sequence model with an Attention mechanism (Seq2Seq-Attention). …”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

“…A valve area fault simulation model is constructed based on power system computer aided design (PSCAD), generating typical fault waveform data for the valve area. …”
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