Trajectory of Fifths in Tonal Mode Detection by Tomasz Lukaszewicz, Dariusz Kania

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Explainable Artificial Intelligence for Diagnosis and Staging of Liver Cirrhosis Using Stacked Ensemble and Multi-Task Learning by Serkan Savaş

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Robots Learn Writing by Huan Tan, Qian Du, Na Wu

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Proposing a Scheme for Human Interactive Proof Test sing Plasma Effect by Ali et al.

“…Human Interactive Proofs (HIPs) are automatic inverse Turing tests, which are intended to differentiate between people and malicious computer programs. …”
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A fluid flow model for the software defined wide area networks analysis by Karol Marszałek, Adam Domański

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Custom YOLO Object Detection Model for COVID-19 Diagnosis by Noor Najah Ali, Aseel Hameed, Asanka G. Perera, Ali Al_Naji

“…To examine the training performance of the contemporary YOLOv4 model, this work presents the development of a computer-assisted automatic detection system that focuses specifically on identifying viral cells in blood samples from patients using electron microscopy images to detect the infected blood cell. …”
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Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments by Lotfi Salhi, Adnane Cherif

“…This paper focuses on a robust feature extraction algorithm for automatic classification of pathological and normal voices in noisy environments. …”
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Application of Machine Learning Models in Optimizing Wastewater Treatment Processes: A Review by Florin-Stefan Zamfir, Madalina Carbureanu, Sanda Florentina Mihalache

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Early Diagnose Alzheimer's Disease by Convolution Neural Network-based Histogram Features Extracting and Canny Edge by Karrar A. Kadhim, Farhan Mohamed, Fallah H Najjar, Ghalib Ahmed Salman

“…Therefore, this research aims to develop A Computer-Aided Brain Diagnosis (CABD) system that can tell if a brain scan exhibits indications of Alzheimer's disease. …”
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A Novel Gravity ‎Optimization Algorithm for Extractive Arabic Text Summarization by Mustafa J. Hadi, Ayad R. Abbas, Osamah Y. Fadhil

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Continuous robust sound event classification using time-frequency features and deep learning. by Ian McLoughlin, Haomin Zhang, Zhipeng Xie, Yan Song, Wei Xiao, Huy Phan

“…The automatic detection and recognition of sound events by computers is a requirement for a number of emerging sensing and human computer interaction technologies. …”
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Revolutionizing climbing perch disease management: AI-Driven solutions for sustainable aquaculture by Kosit Sriputhorn, Rapeepan Pitakaso, Surasak Matitopanum, Peerawat Luesak, Surajet Khonjun, Rungwasun Kraiklang, Chakat Chueadee, Sarayut Gonwirat

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A Pilot Study: Sleep and Activity Monitoring of Newborn Infants by GRU-Stack-Based Model Using Video Actigraphy and Pulse Rate Variability Features by Ádám Nagy, Zita Lilla Róka, Imre Jánoki, Máté Siket, Péter Földesy, Judit Varga, Miklós Szabó, Ákos Zarándy

“…However, we developed a system that automatizes the preceding evaluations in a non-contact way using deep learning algorithms. …”
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RFID-Based Real-Time Salt Concentration Monitoring with Adaptive EKF by Renhai Feng, Xinyi Lin

“…The AEKF algorithm avoids computationally expensive inversion of complex observation equations while automatically adjusting noise covariance matrices via innovation sequence. …”
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Application of Compensation Algorithms to Control the Speed and Course of a Four-Wheeled Mobile Robot by Gennady Shadrin, Alexander Krasavin, Gaukhar Nazenova, Assel Kussaiyn-Murat, Albina Kadyroldina, Tamás Haidegger, Darya Alontseva

“…The efficiency of the algorithm is demonstrated using a computer simulation of a closed-loop control system under various external effects. …”
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Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images by Karem D. Marcomini, Antonio A. O. Carneiro, Homero Schiabel

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EHMQA-GPT: A Knowledge Augmented Large Language Model for Personalized Elderly Health Management by Shaofu Lin, Yidan Duan, Tao Zhou, Xiliang Liu, Jiaojiao Wang

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A Comparative Study of Advanced Transformer Learning Frameworks for Water Potability Analysis Using Physicochemical Parameters by Enes Algül, Saadin Oyucu, Onur Polat, Hüseyin Çelik, Süleyman Ekşi, Faruk Kurker, Ahmet Aksoz

“…This paper presents a comparative analysis of four transformer-based deep learning models in the development of automatic classification systems for water potability based on physicochemical attributes. …”
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Efficiently Automating Covering Array Generation: A Model Checking and Metaheuristic Algorithm Approach by Sajad Esfandyari, Davar Giveki, Amir Rastegarnia, Ali Farzamnia, Hua Zheng

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Extracting Vessel Speed Based on Machine Learning and Drone Images during Ship Traffic Flow Prediction by Jiansen Zhao, Yanjun Chen, Zhenzhen Zhou, Jingying Zhao, Shengzheng Wang, Xinqiang Chen

“…In the water transportation, ship speed estimation has become a key subject of intelligent shipping research. Traditionally, Automatic Identification System (AIS) is used to extract the ship speed information. …”
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