Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…Traditional optimization techniques like Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) often struggle with the nonlinear, high-dimensional nature of EV-grid interaction problems. In contrast, Quantum Annealing (QA) leverages quantum tunneling and parallelism to efficiently explore complex solution spaces. …”
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Securing the economic management and service infrastructure of banks via the use of artificial intelligence (MO-ILSTM) by Xintong Wu

“…The ILSTM approach is extended from binary data classification to various classifications, addressing the inability of economic management or service infrastructure to efficiently handle complex data processing needs and ensure prompt decision-making. …”
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Adsorption of various compounds onto nanooxides unmodified and differently pretreated by V. M. Gun'ko, O. K. Matkovsky

“…Interactions of nonpolar nitrogen, hexane, benzene, weakly polar acetonitrile, and polar diethylamine, triethylamine, and water with individual (silica, alumina), binary (silica/alumina (SA)) and ternary (alumina/silica/titania, AST) nanooxides were studied using experimental and theoretical methods to elucidate the influence of the morphological and textural characteristics and surface composition of the materials on the adsorption phenomena. …”
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Enhanced physicochemical properties of Himalayan Weeping Bamboo-biochar for rapid multicomponent textile dyes uptake under classical and ultrasound irradiation: A comparative study by Sumit Kumar, Chetna Tewari, Ligy Philip, Nanda Gopal Sahoo

“…The study provides insights into an efficient, novel synthesis method for converting waste biomass into a valuable adsorbent for dye removal. …”
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MB-MSTFNet: A Multi-Band Spatio-Temporal Attention Network for EEG Sensor-Based Emotion Recognition by Cheng Fang, Sitong Liu, Bing Gao

“…This sensor-driven framework advances affective computing by integrating spatio-temporal dynamics and multi-band interactions of EEG sensor signals, enabling efficient real-time emotion recognition.…”
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Toxicological impacts and environmental risk of atrazine in the presence of graphene family nanomaterials (GFNs) on Chlorella sp. by Abhrajit Debroy, Mrudula Pulimi, Amitava Mukherjee

“…Key toxicity parameters, including growth inhibition, total reactive oxygen species (ROS) production, malondialdehyde (MDA) generation, photosynthetic efficiency, and antioxidant enzyme activity, were assessed for individual contaminants and their binary mixtures. …”
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Electron‐Rich Heptacyclic S,N Heteroacene Enabling C‐Shaped A‐D‐A‐type Electron Acceptors With Photoelectric Response beyond 1000 Nm for Highly Sensitive Near‐Infrared Photodetecto... by Kuo‐Hsiu Huang, Bing‐Huang Jiang, Han‐Cheng Lu, Yung‐Jing Xue, Chia‐Fang Lu, Yung‐Yung Chang, Ching‐Li Huang, Su‐Ying Chien, Chih‐Ping Chen, Yen‐Ju Cheng

“…The C‐shaped CT‐F and CT‐Cl self‐assemble into a highly ordered 3D intermolecular packing network via multiple π−π interactions in the single crystal structures. The CT‐F‐based organic photovoltaic (OPV) achieved an impressive efficiency of 14.30% with a broad external quantum efficiency response extending from the UV‐vis to the NIR (300–1050 nm) regions, outperforming most binary OPVs employing NIR A‐D‐A‐type acceptors. …”
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Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone by John Gladious, Partha Sarathi Paul, Manas Mukhopadhyay

“…Abstract Rainfall and its interaction with soil, rock, and environmental factors such as soil moisture content, temperature variations, groundwater levels, and vegetation cover are critical determinants of slope stability in geotechnical engineering. …”
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Semantic enhancement and change consistency network for semantic change detection in remote sensing images by Zhenghao Jiang, Biao Wang, Peng Zhang, Yanlan Wu, Zhiyuan Ye, Hui Yang

“…This module continuously supervises segmentation and final detection results using interactive self-attention. SCNet achieves state-of-the-art performance on the SECOND, Hi-UCD-mini, and SJH-SCD (our custom) datasets, demonstrating an impressive balance between efficiency and accuracy. …”
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Li+ Diffusion in LinCoNb2O6 (0 < n ≤ 6) Anode with High Capacity Density: Fast Kinetics and Mechanistic Insights by Yimo Xiang, Shaowen Tan, Jingxian Yu, Shengping Wang

“…Abstract The potential of high power/capacity density and Li+ solid diffusion mechanisms of niobium‐based binary metal oxide (CoNb2O6) anode material are investigated by combining high‐rate Nb2O5 with the redox‐active 3d transition metal Co. …”
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New Insight of Time-transformed Symplectic Integrator. I. Hybrid Methods for Hierarchical Triples by Long Wang

“…Accurate N -body simulations of multiple systems such as binaries and triples are essential for understanding the formation and evolution of interacting binaries and binary mergers, including gravitational wave sources, blue stragglers, and X-ray binaries. …”
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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis by Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise

“…CNN demonstrates superiority in medical imaging owing to its ability to learn intricate spatial patterns and generalize effectively. This interaction enhances the accuracy, speed, and consistency of brain tumor detection, ultimately leading to better patient outcomes and more efficient healthcare delivery. https://github.com/asifrahman557/BrainTumorDetection .…”
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Enhanced photocatalytic performance of ternary g-C3N4/UiO-66/Ag3VO4 composite for methylene blue degradation under visible light irradiation by Kalkidan Meskelu, Abi M. Taddesse, Endale Teju, Zewdu Bezu

“…It was found that the ternary composites (g-C3N4/UiO-66/Ag3VO4, 1 wt%, 5 wt%, 10 wt%, and 15 wt% g-C3N4) demonstrated higher degradation efficiency than the single and binary constituents owing to beneficial interactions in the composite, which favor successful interfacial charge transfer and improve photogenerated e--h+ pair separations. …”
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Development and application of artificial intelligence follow-up system in patients with coronary heart disease by Liping Zhang, Yanan Chen, Qiao Yang, Lijuan Lu, yishuang Cui, Miao Zhou, Xiaolu Jin, Shiyi Zhang, Xifei He

“…Objective This study aimed to develop and evaluate an AI-assisted follow-up platform incorporating patient profiling and interactive voice response (IVR) technologies. The platform seeks to improve follow-up efficiency, enhance patient satisfaction, reduce the workload of medical staff, and provide a scalable model for intelligent follow up in clinical settings. …”
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Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

“…To achieve this, we propose a GPU-based complete binary tree method to efficiently construct, update, and traverse a BVH (Bounding Volume Hierarchy) tree and optimize the R-Triangle (Representative-Triangle) technique on triangular meshes using GPUs to minimize primitive collision checks. …”
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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…Current hypervelocity impact research primarily focuses on the interaction between projectile and front plate and the movement of debris cloud. …”
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Accidental symmetries, Hilbert series, and friends by Benjamín Grinstein, Xiaochuan Lu, Carlos Miró, Pablo Quílez

“…Applying this technology, we spotlight three classes of accidental symmetries that hold to all orders for non-derivative interactions. They are broken by derivative interactions and become ordinary finite-order accidental symmetries. …”
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Optimization design of internal space layout of three-bedroom residential apartment based on IGA and DE algorithm. by Ling Zhao, Baijun Li

“…This study provides an efficient solution for intelligent building layout design and has certain practical value.…”
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Security, QoS and energy aware optimization of cloud-edge data centers using game theory and homomorphic encryption: Modeling and formal verification by Mbarek Marwan, Abdelkarim Ait Temghart, Said Ouhmi, Mohamed Lazaar

“…Although RSA and Paillier cryptosystems are highly beneficial for mathematical operations on basic encrypted data due to their homomorphic properties, images are processed using permutation-ordered binary (POB) and Shamir's secret sharing (SSS). Second, a non-cooperative game theory model was formulated to examine the interactions between service providers, characterizing each edge as an M/M/1 system with an infinite queue. …”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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