Enhanced Edge Feature Fusion and Visual State Space for Precise Detection of Switch Tip Close Fitting by Chang Zhengtang, Lan Xiangui, Lai Yihui

“…An Edge Feature Enhancement Module uses dilated convolutions to enhance local feature extraction, while a Visual State Space Module in the skip connections captures contextual spatial information. …”
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A Data Resource Trading Price Prediction Method Based on Improved LightGBM Ensemble Model by Wan Nie, Bingliang Shen, Desheng Li

“…Moreover, for small-sample datasets, GAN technique can effectively augment tabular training datasets while preserving the original data distribution. …”
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Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials by Ahmed Farid Ibrahim, Mohamed Abdrabou Hussein

“…This approach provides a scalable solution for enhancing AC production sustainability, while addressing critical waste management challenges.…”
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Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks by V. Niranjani, Anandakumar Haldorai

“…To overcome this issue, this paper proposed a model of Empirical Mode Decomposition with CNN and optimized with Seagull Optimization Algorithm (EMD-CNN-SOA). This proposed work provides an accurate prediction of demand for energy conservation and it reduces the burden on electric grids while minimizing the cost of charging. …”
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An optimized implementation of adaptive noise canceller based on proposed shift and add multiplier by Aneela Pathan, Khalil M. Zohaib, Rizwan Aziz, Adil Hussain Chandio, Syed Haseeb Shah

“…Wiener, Steepest, and LMS are the most often utilized. While in hardware translation on ASICS and FPGAs, adaptive filters require more resources than straightforward FIR or IIR designs. …”
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Experimental and numerical investigation on thermal performance of enhanced geothermal system: A case study of Guanzhong basin by Guoyao Jin, Yuxiang Zhao, Ye Min, Xiao Zhang, Chao Jiang, Zijing Tan

“…A multi-objective genetic algorithm correlates operational variables with extraction efficiency, providing a quantitative framework for optimization. …”
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The Sakhalin Ainu: origin and population contacts according to cranial-metric data by Moiseyev V.G., Zubova A.V.

“…Albeit it is generally accepted that the Sakhalin Ainu are decedents of Ainu migrants from Hokkaido, significant cranial differences has been revealed between these two related populations. Thus, while M. Levin argued in favor of the Nivkh component in the Sakhalin Ainu population, A. …”
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SRM-YOLO for Small Object Detection in Remote Sensing Images by Bin Yao, Chengkun Zhang, Qingxiang Meng, Xiandong Sun, Xuyang Hu, Lu Wang, Xilai Li

“…In this paper, we introduce SRM-YOLO, a novel small object detection algorithm based on the YOLOv8 framework. The model incorporates the following key innovations: Reuse Fusion Structure (RFS), which enhances feature fusion; SPD-Conv, which enables effective downsampling while preserving critical information; and a specialized detection head designed for small objects. …”
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Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with neural networks by Stefan Hildebrand, Sandra Klinge

“…The proposed model architecture is simpler and more efficient compared to existing solutions from the literature using approximately only half the amount of NN parameters, while representing a complete three-dimensional material model. …”
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Semantic aware intelligent optimization for IRS/UAV-enabled MEC in wideband cognitive radio networks by Wei Zheng, Pengshan Ren, Qing Li

“…Particularly, the proposed optimization framework jointly optimizes UAV trajectories, subcarrier allocation, IRS reflection coefficients, task offloading ratios, task priorities and contextual relevance to maximize semantic utility and system energy efficiency while dynamically ensuring task demands. Furthermore, to tackle the non-convexity caused by highly coupled optimization variables, we employ a deep reinforcement learning algorithm based on double deep Q-network and twin delayed deep deterministic policy gradient (DDQN-TD3). …”
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An Intelligent Hybrid Framework for Threat Pre-Identification and Secure Key Distribution in Zigbee-Enabled IoT Networks Using RBF and Blockchain by Bhukya Padma, Mahipal Bukya, Ujjwal Ujjwal

“…The findings confirm its efficacy in safeguarding IoT settings from new risks while ensuring scalability and resource efficiency. …”
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Single-Trial Electroencephalography Discrimination of Real, Regulated, Isometric Wrist Extension and Wrist Flexion by Abdul-Khaaliq Mohamed, Vered Aharonson

“…Features were extracted from these signals using a time–frequency algorithm and classified using Mahalanobis distance clustering. …”
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Decentralized Voltage Prediction in Multi-Area Distribution Systems: A Privacy-Preserving Collaborative Framework by Jianfeng Yan, Beibei Wang, Zhiqiang Wu, Zhengkai Ding

“…First, a privacy-preserving multi-objective XGBoost algorithm is developed to mitigate curious behavior through homomorphic encryption and minimal information sharing. …”
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Research on the policy inconsistency, network motifs and low carbon effects for municipal solid waste management by Bo Lv, Tianxu Cui, Daiheng Li, Weiyue Yao

“…This study combines the policy consistency formula, a four-node network motif evolution algorithm, and the Exponential Random Graph Model (ERGM), analyzing MSWM green network motifs with carbon emission data. …”
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Algebraic Properties of Interval -Valued Quadri Partitioned Neutrosophic Fuzzy Matrices and their Application in Multi-Criteria Decision- Making Problem by P.Tharini, C. Devi Shyamala Mary, P.Tharaniya, S. Prathap, S. Ramkumar, G. Dhanavel

“…The study culminates in an algorithm tailored for solving multi-criteria decision-making problems using Interval-Valued Quadri Partitioned Neutrosophic Fuzzy Matrices, validated through an illustrative example that demonstrates its practical utility. …”
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Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis by Xuze Wang, Ailixiati Wumaier, Jun Wang, Dejuan Song, Yiting Cai, Jin Han, Wei Han, Zhi Fang

“…Keyword analysis revealed that retinal imaging-related terms remained a consistent research focus, while newly emerging keywords included “automated detection” and “childhood.”ConclusionRecent advancements in AI applications for HM have been significant and are expected to continue. …”
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Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment by Aravam Babu, A. Bagubali

“…To overcome this, the Sailfish Optimization Algorithm (SFO) is incorporated to fine-tune the Isolation Forest model’s parameters dynamically, balancing exploration and exploitation. …”
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Responsible AI Framework for Autonomous Vehicles: Addressing Bias and Fairness Risks by Abhinav Tiwari, Hany E. Z. Farag

“…Third, the paper focuses on bias and fairness within AV systems, outlining precise techniques for bias detection and mitigation across data collection, algorithm design, and real-time decision-making. Lastly, the research presents bias removal simulations using publicly available AV datasets, evaluating mitigation strategies such as synthetic data generation and algorithmic fairness analysis. …”
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A techno‐economic model for enhancing PV hosting capacity through capabilities of smart inverters and soft open points by Rezvaneh Golnazari, Saeed Hasanzadeh, Ehsan Heydarian‐Forushani, Hamid Reza Sezavar, Navid Fahimi

“…Respective objective functions are optimized using a genetic algorithm (GA) according to probabilistic power flow. …”
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HASSDE-NAS: Heuristic–Adaptive Spectral–Spatial Neural Architecture Search with Dynamic Cell Evolution for Hyperspectral Water Body Identification by Feng Chen, Baishun Su, Zongpu Jia

“…</b> The architecture integrates three specialized units; a spectral-aware dynamic band selection cell suppresses redundant spectral bands, while a geometry-enhanced edge attention cell refines fragmented spatial boundaries. …”
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