#GAMEADDICTED: A Machine Learning Framework for Digital Game Addiction Detection and Early Intervention by Esra Kahya Ozyirmidokuz, Bekir Asim Celik, Eduard Alexandru Stoica

“…The study employed machine learning models to process unstructured data collected from online game platforms between May 1, 2023, and June 1, 2023. …”
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Study on Color Detection of Korla Fragrant Pears by Near-Infrared Spectroscopy Combined with PLSR by Yifan Xia, Yang Liu, Hong Zhang, Jikai Che, Qing Liang

“…The optimal detection models were determined. The results indicated that pre-processing and characteristic extraction improved the accuracy of the PLSR model. …”
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Advances in Machine Learning-Aided Thermal Imaging for Early Detection of Diabetic Foot Ulcers: A Review by Longyan Wu, Ran Huang, Xiaoyan He, Lisheng Tang, Xin Ma

“…The prevention and early warning of foot ulcers are crucial in diabetic care; however, early microvascular lesions are difficult to detect and often diagnosed at later stages, posing serious health risks. …”
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Enhancing extractive multi-documents summarization with a novel dominating set model for semantic relationship detection by Said Yunus, Cengiz Hark, Fatih Okumuş

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Multi-Step Preprocessing With UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection by Aisha Ahmed AlArfaj, Abdulaziz Altamimi, Turki Aljrees, Shakila Basheer, Muhammad Umer, Md. Abdus Samad, Shtwai Alsubai, Imran Ashraf

“…The findings demonstrate the superiority of the proposed approach in the domain of plant disease identification. By automating the detection process, this research not only enhances efficiency but also enables early disease detection, thereby potentially contributing to the agricultural sector to identify crop disease and manage it efficiently.…”
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Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images by Sayed Mehran Sharafi, Jean‐Philippe Sylvestre, Claudia Chevrefils, Jean‐Paul Soucy, Sylvain Beaulieu, Tharick A. Pascoal, Jean Daniel Arbour, Marc‐André Rhéaume, Alain Robillard, Céline Chayer, Pedro Rosa‐Neto, Sulantha S. Mathotaarachchi, Ziad S. Nasreddine, Serge Gauthier, Frédéric Lesage

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Improving Multiscale Fuzzy Entropy Robustness in EEG-Based Alzheimer’s Disease Detection via Amplitude Transformation by Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni

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Damage Detection of Truss Structures by Reduction of Degrees of Freedom Using the Serep Method by Shahin Lale Arefi, Amin Gholizad

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Detection of anthropogenic noise pollution as a possible chronic stressor in Antarctic Specially Protected Area N°150, Ardley Island by Maximiliano Anzibar Fialho, Martín Rocamora, Lucía Ziegler

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Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection by Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Humayan Kabir Rana, Md. Saifur Rahman, Md. Munirul Hasan, AKM Azad, Ibrahim Abdullah, Mohammad Ali Moni

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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The use of AI in poultry farming allows for the automation of monitoring processes, improves the management of poultry health, and reduces reliance on human resources, which is especially important amid the pandemic and quarantine measures. …”
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Target recognition in diverse synthetic aperture radar image datasets with low size weight and power processing hardware by Richard O. Lane, Wendy J. Holmes, Timothy Lamont‐Smith

“…Abstract This paper studies the performance of target detection and classification algorithms applied to synthetic aperture radar (SAR) data. …”
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Experimental research of vibrowave processes in recycling technology of assembly units by Anatoliy P. Babichev, Vladimir N. Vesnin

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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…Given the continuous growth of medical data volumes, there is a clear need for modern information technologies capable of automating disease analysis and prediction processes. This paper examines the potential and benefits of implementing machine learning (ML) and artificial intelligence (AI) algorithms for medical data analysis aimed at diabetes detection. …”
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Detection and Early Warning of <i>Duponchelia fovealis</i> Zeller (Lepidoptera: Crambidae) Using an Automatic Monitoring System by Edgar Rodríguez-Vázquez, Agustín Hernández-Juárez, Audberto Reyes-Rosas, Carlos Patricio Illescas-Riquelme, Francisco Marcelo Lara-Viveros

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AdaLine: Adaptive Counting Line Optimization by Perspective-Aware Trajectory Modeling in Object-Detection-Tracking Systems by Wenhao Huang, Yin Chen, Jin Nakazawa, Tadashi Okoshi

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Burning rate research of NEPE propellant containing CL-20 on the base of improved Canny edge detection and PSO-BP by Cai Wenxiang, Yu Xintong, Wang Zhixiang

“…Captured images during the steady burning period are processed to obtain the curves and positions of the propellant burning surface with the help of an improved Canny edge detection technique with excellent accuracy. …”
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Background orientated and shadowgraphy schlieren monitoring in laser-based additive manufacturing by Benedikt Brandau, Rico Hemschik, João Paulo Sousa, Frank Brueckner, Alexander F.H. Kaplan

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ITERATIVE APPROACH TO INCREASING QUALITY OF PROGRAMS TESTING by B. M. Basok, V. N. Zakharov, S. L. Frenkel

“…This period includes the process of multiple execution of designed and developed system tests of AS, and includes additional analysis of the program in other ways. …”
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Cyberbullying detection of resource constrained language from social media using transformer-based approach by Syed Sihab-Us-Sakib, Md. Rashadur Rahman, Md. Shafiul Alam Forhad, Md. Atiq Aziz

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