A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems by A. Vinil, Parameswaran Iyer, Jetain Chetan, Aniket Bembale, Nagendra Singh

“…We review and analyze an existing hybrid quantum-classical machine learning model alongside classical machine learning models specifically for this problem. We also explore Variational Quantum Circuits and Encoding Methods. Our study suggests that hybrid quantum-classical machine learning, Graph Neural Networks, and Temporal Graph Networks offer high performance in terms of path prediction and accuracy in finding the optimal path. …”
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Food Processing Industries in Visegrad Countries in Global Value Chains (1995–2018) by Ivo Zdráhal, J. Matthew Fannin

“…Our findings revealed variations in the integration of food processing industries in GVCs in the V4 countries. …”
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Impact of Premedication on Preoperative Anxiety in Females with Gynecological Diseases by I. G. Bobrinskaya, V. M. Yaltonsky, S. S. Khaikin, O. A. Bykova

“…Objective: to study preoperative psychoemotional, autonomic, and hematodynamic responses in patients to develop criteria for evaluating the efficiency of premedication.Subjects and methods. Sixty gynecological patients (mean age 38.5±1.1 years), who were being prepared for elective surgery, were examined. …”
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Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model by Liwei Zhang, Lisang Liu, Wenwei Chen, Zhihui Lin, Dongwei He, Jian Chen

“…This paper proposes a learning model named CECSVB-LSTM, which integrates several advanced techniques: a bidirectional long short-term memory (BILSTM) network, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), variational mode decomposition (VMD), and the Sparrow Search Algorithm (CSSSA) incorporating circle chaos mapping and the Sine Cosine Algorithm. …”
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EHAFF-NET: Enhanced Hybrid Attention and Feature Fusion for Pedestrian ReID by Jun Yang, Yan Wang, Haizhen Xie, Jiayue Chen, Shulong Sun, Xiaolan Zhang

“…We propose a pedestrian re-identification method called EHAFF-NET, which integrates an enhanced hybrid attention mechanism and multi-branch feature fusion. …”
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Importance-Aware Resource Allocations for MIMO Semantic Communication by Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao

“…Traditional systems suffer from bit-level redundancy in 6G, while JSCC struggles with complex channel variations. Our solution decouples semantic processing from channel coding through a three-tier architecture: (1) Variational autoencoder (VAE)-based semantic encoder and decoder for source coding, (2) A communication-informed bottleneck attribution (CIBA) mechanism quantifying feature importance for learning tasks, and (3) An importance-aware resource allocation scheme aligning communication objectives with deep learning tasks. …”
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Numerical exploration of Hall and Dufour effects on rotating MHD natural convection near an infinite vertical plate with ramped boundary conditions using FDM and RSM using combined... by Obulesu Mopuri, Charankumar Ganteda, Rudraravi Kumar Palegari, G. Jaya Lalitha, P. Harikrishna, K. Rajyalakshmi, Vediyappan Govindan, Haewon Byeon, Busayamas Pimpunchat

“…Additionally, the finite response method (FRM) is proposed to optimize parameter interactions, enabling efficient modeling and prediction of outcomes for variations beyond those tested in the FDM. …”
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Bending Resistance of Composite Sections with Nonductile Shear Connectors and Partial Shear Connection by Svetlana M. Kostic, Biljana Deretic-Stojanovic

“…Special attention is paid on two different constructional methods: propped and unpropped. The weaknesses of the simplified design method in determining bending moment resistance are identified and recommendations for practical design analysis are formulated.…”
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Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions by Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa

“…This narrative review explores texture analysis as a valuable technique in dentomaxillofacial diagnosis, providing an advanced method for quantification and characterization of different image modalities. …”
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Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand by Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

“…Abstract As the integration of renewable energy sources, such as wind power and photovoltaics, continues, the issue of system uncertainty has become more pronounced. …”
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Spatiotemporal Semantic Modeling and Cross-Modal Collaboration-Based Gait Recognition Under Multiple Views and Various Walking Conditions by Qianqing Duan, Ming Xu, Jun Liu, Yingying Peng

“…However, existing gait recognition methods predominantly rely on unimodal data and lack sufficient integration of multimodal information, which hinders the ability to fully leverage the complementary advantages of different modalities. …”
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War College Guest Military Students’ Perceptions of Türkiye by Selçuk Cantürk

“…In this context, the study uses the phenomenological design, a qualitative research method. Maximum variation sampling, a purposive sampling method, was used to determine the study group. …”
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Enhanced Channel Estimation for RIS-Assisted OTFS Systems by Introducing ELM Network by Mintao Zhang, Zhiying Liu, Li Wang, Wenquan Hu, Chaojin Qing

“…Moreover, ML-based CE methods encounter numerous difficulties, including intricate parameter tuning and long training time. …”
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Chess Position Evaluation Using Radial Basis Function Neural Networks by Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

“…Various networks were trained and tested as we considered different variations of each method regarding input variable configurations and dataset filtering. …”
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Data-Driven Enhancements for MPC-Based Path Tracking Controller in Autonomous Vehicles by Jianhua Guo, Zhihao Xie, Ming Liu, Jincheng Hu, Zhiyuan Dai, Jinqiu Guo

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A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy by Man‐Wen Tian, Lixing Zhu, Mohammad Hosein Sabzalian, Jafar Tavoosi, Amirhosein Khosravi Sarvenoee, Pierpaolo D'Urso, Ebrahim Ghaderpour, Ardashir Mohammadzadeh

“…Finally, the proposed strategy is compared with the conventional model predictive control method, which demonstrates the superiority of the suggested method in terms of flexibility, reduced response time, reduced fluctuations, and improved stability. …”
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Construction and Preliminary Application of the Carbon-based Spatial Governance Performance Evaluation System ——Taking Zhejiang Province as an Example by Lin Qu, Ganlin Xia, Cunkuan Bao

“…This study initially established a theoretical model for assessing spatial governance performance based on carbon and an evaluation method encompassing three dimensions or indices "level-progress-gap". …”
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Physics-Based Compact Model of Independent Dual-Gate BEOL-Transistors for Reliable Capacitorless Memory by Lihua Xu, Kaifei Chen, Zhi Li, Yue Zhao, Lingfei Wang, Ling Li

“…Capacitorless DRAM architectures based on Back-End-of-Line (BEOL)-transistors are promising for long-retention, high-density and low-power 3D DRAM solutions due to its low leakage, operational flexibility, and monolithic integration capability. Different from classical silicon-based devices, in-depth studies on the performances of nanoscale multi-gate transistors (e.g., a-InGaZnO-FET) are still barely conducted for physical description, due to the complicated multi-gating principle, finite-size effects on transport, increased variation sources and enlarged parasitic effect. …”
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Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…The nineteen criteria factors were modeled and analyzed through the integration of three parameter categories: hydro-geomorphic, landscape environment and topography, and socio-economic, using Multiple-criteria decision-making methods (MCDM). …”
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Enhanced YOLOv8 for Robust Pig Detection and Counting in Complex Agricultural Environments by Jian Li, Wenkai Ma, Yanan Wei, Tan Wang

“…Detection-based counting methods face significant challenges due to mutual occlusion, varying illumination conditions, diverse pen configurations, and substantial variations in pig densities. …”
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