GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropy by Hiroaki Shiokawa, Shoichi Ishida, Kei Terayama

“…Although graph-based similarity calculation approaches, such as the graph edit distance, have been proposed for calculating molecular similarity, these approaches are nondeterministic polynomial (NP)-hard and thus computationally infeasible for routine use, unlike fingerprint-based methods. …”
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Innovative QR Code System for Tamper-Proof Generation and Fraud-Resistant Verification by Suliman A. Alsuhibany

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Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis by Tianhang Nan, Song Zheng, Siyuan Qiao, Hao Quan, Xin Gao, Jun Niu, Bin Zheng, Chunfang Guo, Yue Zhang, Xiaoqin Wang, Liping Zhao, Ze Wu, Yaoxing Guo, Xingyu Li, Mingchen Zou, Shuangdi Ning, Yue Zhao, Wei Qian, Hongduo Chen, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui

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Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation by Haiwoong Park, Hyeryung Jang

“…Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high computational and memory costs. In particular, it is often composed of real-time collected data that tends to be noisy, making preprocessing an essential step. …”
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Adaptive Indexed Divisible Load Theory for Wireless Sensor Network Workload Allocation by Haiyan Shi, Wanliang Wang, Ngai Ming Kwok, Shengyong Chen

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Multi-Dimensional Anomaly Detection and Fault Localization in Microservice Architectures: A Dual-Channel Deep Learning Approach with Causal Inference for Intelligent Sensing by Suchuan Xing, Yihan Wang, Wenhe Liu

“…The system reduced the average troubleshooting time by 43% and false localization rates by 31% compared to state-of-the-art methods, while maintaining a computational efficiency suitable for real-time monitoring. …”
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Design and Implementation of Nonisolated High Step-Up DC-DC Converter by Mehdi Zamani, Amir Aghaie, Ali Zamani, Rana Tari, Mostafa Abarzadeh, Seyed Hossein Hosseini

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Capturing Fine-Grained Food Image Features Through Iterative Clustering and Attention Mechanisms by Wei He, Mengmeng Liu, Qingqi Liang

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The integration of compressive sensing and clustering for date gathering in unmanned aircraft system–aided networks by Xiangmao Chang, Quan Wang, Zhiguo Qu, Yanchao Zhao

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An intelligent conversational agent for querying satellite manoeuvre detections: a case study by Wathsala Karunarathne, David P Shorten, Matthew Roughan

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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

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An Efficient Approach for Stimulating Cooperation among Nodes in Wireless Sensor Networks by Hongyun Xu, Ding Wang, Shigen Shen, Youqun Shi, Qiying Cao

“…However, due to the limited resources such as energy, computational availability, and communication capabilities, there may exist some selfish nodes that refuse to cooperate with others. …”
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Deep Learning System for E-Waste Management by Godfrey Perfectson Oise, Susan Konyeha

“…The Python programming tool will be used to develop the deep learning model as well as a GUI that will facilitate human–computer interactions. The system will be tested and the result evaluated to assess the functionality and adequacy of the system.…”
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Prediction of SDG 6.2 Achievement in Indonesia Using Double Exponential Smoothing by Nazwa Nabila, Adhitia Erfina, Cecep Warman

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Underwater Sounds Classification for Effective Smart Marine Monitoring Systems by Michele Nappi, Fabio Narducci, Benedetto Simone

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A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

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An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption by Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin

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A Comparative Performance Analysis of Locally Deployed Large Language Models Through a Retrieval-Augmented Generation Educational Assistant Application for Textual Data Extraction by Amitabh Mishra, Nagaraju Brahmanapally

“…By leveraging multiple LLM architectures, we evaluate performance of the models under test in terms of context length, embedding size, computational efficiency, and relevance of responses. …”
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Machine learning analysis of a Fano resonance based plasmonic refractive index sensor using U shaped resonators by Shiva Khani, Pejman Rezaei, Mohammad Rahmanimanesh

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Nonlinear Secret Image Sharing Scheme by Sang-Ho Shin, Gil-Je Lee, Kee-Young Yoo

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