FastADnet: Fast Anomaly Detection via Core-Feature Centered Cluster Reconstruction Network by Daeyeob Na, Youngjoon Yoo

“…Industrial anomaly detection plays a critical role in computer vision, driving advancements across various sectors. …”
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A Study of Compressed Language Models in Social Media Domain by Linrui Zhang, Belinda Copus

“…Distilled BERT, Distilled RoBERTa and etc, and evaluated their performances on three datasets in the social media domain. …”
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Synthesis, ADME, and In Silico Molecular Docking Study of Novel N-Substituted <i>β</i>-Carboline Analogs as a Potential Anticancer Agent by Sunil Gaikwad

“…The present study designed and computationally optimized a series of novel β-carboline derivatives to investigate the interaction between designed ligands and selected proteins. …”
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Effects of projected wave climate changes on the sizing and performance of OWCs: a focus on the Atlantic North African and European coastal waters by Irene Simonetti, Lorenzo Cappietti

“…The capture width ratio of the device under different wave conditions is computed using an empirical model capable of predicting the device performance with acceptable accuracy and limited computational time. …”
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ABORDAGENS DFT PARA ESPECTROS DE ABSORÇÃO UV-VIS: EXPLORANDO SEMELHANÇAS E DIFERENÇAS EM COMPOSTOS ORGÂNICO E DE COORDENAÇÃO by Vania Martins Ramos, Bruno Campana Severino, Ana Paula de Lima Batista

“…This study evaluates various functionals and basis sets to describe the ground-state geometry and UV-Vis spectra of trans-azobenzene (trans-AB) and 3-ferrocenyl-trans-azobenzene (3-FCAB). …”
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The DRAGON benchmark for clinical NLP by Joeran S. Bosma, Koen Dercksen, Luc Builtjes, Romain André, Christian Roest, Stefan J. Fransen, Constant R. Noordman, Mar Navarro-Padilla, Judith Lefkes, Natália Alves, Max J. J. de Grauw, Leander van Eekelen, Joey M. A. Spronck, Megan Schuurmans, Bram de Wilde, Ward Hendrix, Witali Aswolinskiy, Anindo Saha, Jasper J. Twilt, Daan Geijs, Jeroen Veltman, Derya Yakar, Maarten de Rooij, Francesco Ciompi, Alessa Hering, Jeroen Geerdink, Henkjan Huisman, On behalf of the DRAGON consortium

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SmartPod: An Automated Framework for High-Precision Soybean Pod Counting in Field Phenotyping by Fei Liu, Shudong Wang, Shanchen Pang, Zhongzhi Han, Longgang Zhao

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A systematic review of AI-enhanced techniques in credit card fraud detection by Ibrahim Y. Hafez, Ahmed Y. Hafez, Ahmed Saleh, Amr A. Abd El-Mageed, Amr A. Abohany

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Recent Advances in Demand Responsive Transport: Opportunities With Autonomous Bus Service&#x2014;A System-of-Systems Overview by Sajid Fadlelseed, Pouria Sarhadi, Soodamani Ramalingam, Hock C. Gan, Pandelis Kourtessis, Gav Jackman, Atziri Guadalupe Sanchez Contreras, Javier Guimera Tena, James West, Jack Holland, Alice Missler

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Enhanced COVID-19 Detection from X-ray Images with Convolutional Neural Network and Transfer Learning by Qanita Bani Baker, Mahmoud Hammad, Mohammed Al-Smadi, Heba Al-Jarrah, Rahaf Al-Hamouri, Sa’ad A. Al-Zboon

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IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

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Shape-Dependent Dynamic Label Assignment for Oriented Remote Sensing Object Detection by Xue Zhang, Yanxia Wu, Guoyin Zhang, Ye Yuan, Guangliang Cheng, Yulei Wu

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Blockchain Approach for Healthcare Using Fog Topology and Lightweight Consensus by Aya Laouamri, Sarra Cherbal, Yacine Mosbah, Chahrazed Benrebbouh, Kamir Kharoubi

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Machine Learning-Based Indirect Tip Force Sensing and Estimation for Robotic Uterine Manipulation System by Songphon Namkhun, Apiwat Boonkong, Piroon Kaewfoongrungsi, Kovit Khampitak, Daranee Hormdee

“…All models demonstrated reliable performance across diverse testing conditions, with XGBoost and SVR achieving a balance of predictive accuracy and computational efficiency, while LSTM effectively leveraged temporal dependencies. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…By employing the CMAC neural network, CMACGSA dynamically learns the masses of particles/agents of GSA, enabling a learning-driven approach to mass computation. Additional enhancements include L&#x00E9;vy mutation, boundary control methods and an error handling mechanism, which together improve the robustness and adaptability of the algorithm. …”
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Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition by Muhammad Islam, Mohammed Aloraini, Shabana Habib, Meshari D. Alanazi, Ishrat Khan, Aqib Khan

“…Accurate and prompt automated disease diagnosis through advanced computer vision is crucial for safeguarding wheat quality. …”
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Optimized Video Watermarking With Entropy-Aware Block Selection and Modified H&#x00E9;non-Map Encryption by Ranjan K. Senapati, Birendra Biswal, Sandeep Kautish, Gandharba Swain, Ayman Altameem, Abdulaziz S. Almazyad, Ali Wagdy Mohamed

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A Blockchain-Based E-Participation Framework Utilizing Zero-Knowledge Proofs With Guaranteed Sampling and Differential Reward Mechanisms by Jungwon Seo, Juhui Lee, Yunjae Joo, Kangho Lee, Vijayan Sugumaran, Sooyong Park

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Enhancing Urban Road Safety: A 5G NR Model for Vulnerable Road Users Awareness by Alexis Yanez, Felipe Salas, Cesar A. Azurdia-Meza, Jorge Ignacio Sandoval, Sandra Cespedes

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DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language by Jothi Prakash Venugopal, Arul Antran Vijay Subramanian, Manikandan Murugan, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

“…Despite its computational demands, DCAT sets a new benchmark for image captioning in Tamil, demonstrating potential applicability to other similar languages.…”
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