Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

“…At present, the level of accuracy of classification of diseases caused by DR by systems based on machine learning is comparable to the level of qualified medical doctors.The article shows variants for representation of the retina in digital images by different cameras. …”
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A SYSTEMATIC ANALYSIS OF AI-EMPOWERED EDUCATIONAL TOOLS DEVELOPED IN INDIA FOR DISABLED PEOPLE by Shivani, Monika Gupta, Satinder Bal Gupta

“…The Notebook platform utilizes Machine Learning algorithms that provide students with a personalized learning experience. …”
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Effects of Operation Prediction Sharing for Collaborative Avatar Robot by Hyuga Suzuki, Hikari Yukawa, Kouta Minamizawa, Yoshihiro Tanaka

“…The robotic arm was controlled by two operators, while the system predicts operations 0.3 seconds ahead using machine learning based on one operator’s actions. …”
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Resonant Frequency Modeling of Microwave Antennas Using Gaussian Process Based on Semisupervised Learning by Jing Gao, Yubo Tian, Xie Zheng, Xuezhi Chen

“…For the optimal design of electromagnetic devices, it is the most time consuming to obtain the training samples from full wave electromagnetic simulation software, including HFSS, CST, and IE3D. Traditional machine learning methods usually use only labeled samples or unlabeled samples, but in practical problems, labeled samples and unlabeled samples coexist, and the acquisition cost of labeled samples is relatively high. …”
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An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security by Mouaad Mohy-Eddine, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

“…This study designs an intrusion detection model exploiting feature engineering and machine learning for IIoT security. We combine Isolation Forest (IF) with Pearson’s Correlation Coefficient (PCC) to reduce computational cost and prediction time. …”
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Classification of Dyslexia Among School Students Using Deep Learning by Alia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia Al-Ubaidi

“…This research contributes to the field of dyslexia diagnosis by harnessing the power of machine learning and audio analysis techniques. Facilitating faster and more accurate identification of Dyslexia in children, ultimately improving their educational outcomes and quality of life. …”
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Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

“…The method applied is an experimental method that utilizes machine learning technology by using many rice images that are used as datasets. …”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…Apart from that, various classification algorithms, such as machine learning and deep learning, are useful for diagnosing MRI scans. …”
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A Smart Intelligence System for Hen Breed and Disease classification using Extra Tree classifier-based Ensemble Technique by Galib Muhammad Shahriar Himel, Md. Masudul Islam

“…The findings of this study represent a groundbreaking accomplishment in the realm of hen breed classification using machine learning, distinguishing this study as both state-of-the-art and pioneering. …”
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Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models by Qian Du, Xinxin Shao, Minbo Zhang, Guangru Cao

“…Comparative analysis revealed that CNN-based approaches showed consistently high performance in ossification of the posterior longitudinal ligament detection, while traditional machine learning methods demonstrated varying effectiveness in cervical spondylotic myelopathy classification. …”
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Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature by Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim

“…Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. Rough sets models, which have been recently proposed, are developed applying the different fuzzy generalisations. …”
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XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System by Maiada M. Mahmoud, Yasser Omar Youssef, Ayman A. Abdel-Hamid

“…The challenge is further compounded by the fact that most IDS rely on black-box machine learning (ML) and deep learning (DL) models, making it difficult for security teams to interpret their decisions. …”
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Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index by Ying Zhao, Dongli Hu, Dongxia Huang, You Liu, Zitong Yang, Lei Mao, Chao Liu, Fangfang Zhou

“…The so-called learned sorting, which was first proposed by Google, achieves data sorting by predicting the placement positions of unsorted data elements in a sorted sequence based on machine learning models. Learned sorting pioneers a new generation of sorting algorithms and shows a great potential because of a theoretical time complexity ON and easy access to hardware-driven accelerating approaches. …”
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Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces by Pin-Chia Huang, I-Cheng Li, Ching-Yi Wang, Cheng-Hsiung Shih, Masimukku Srinivaas, Wan-Ting Yang, Chin-Fang Kao, Te-Jen Su

“…In recent years, AI technology has made significant advancements in image recognition, machine learning, and data analysis, which provide new opportunities for art management. …”
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Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

“…Through the integration of robotics, machine learning, and data‐driven experimentation, the SDL demonstrates a highly accelerated process optimization with minimal human intervention. …”
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Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach by Jin Zhang, Fu Yan, Jianqiang Yang

“…Abstract Feature selection is a pivotal research area within machine learning, tasked with pinpointing the essential subset of features from a broad array that critically influences a model’s predictive capabilities. …”
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Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment by Arunit Maity, P. Prakasam, Sarthak Bhargava

“…Design/methodology/approach – A novel machine learning-based approach to detect DTMF tones affected by noise, frequency and time variations by employing the k-nearest neighbour (KNN) algorithm is proposed. …”
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Groundbreaking Technologies and the Biocontrol of Fungal Vascular Plant Pathogens by Carmen Gómez-Lama Cabanás, Jesús Mercado-Blanco

“…Furthermore, artificial intelligence and machine learning can revolutionize crop protection through early disease detection, the prediction of disease outbreaks, and precision in BCA treatments. …”
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Application of Multiattention Mechanism in Power System Branch Parameter Identification by Zhiwei Wang, Liguo Weng, Min Lu, Jun Liu, Lingling Pan

“…The experiment shows that our proposed GTN is superior to other machine learning methods and deep learning methods and can still realize accurate branch parameter identification under various noise conditions.…”
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Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy by Fabio Pisano, Giuliana Sias, Alessandra Fanni, Barbara Cannas, António Dourado, Barbara Pisano, Cesar A. Teixeira

“…In the last decades, numerous approaches to automate this detection have been proposed and, more recently, machine learning has shown very promising performance. …”
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