Melodic contour supersedes short-term statistical learning in expressive accentuation. by Haiqin Zhang, Emmanuel Chemla, Claire Pelofi, Laurent Bonnasse-Gahot

“…We manipulated two types of structural saliency: one driven by Gestalt principles (a note at the peak of a melodic contour) and one driven by statistical learning (a note with high surprisal, or information content [IC], as defined by the artificial melodic grammar). …”
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A Method for Detecting Foreign Objects in Pastries Based on Deep Learning by Haoqi TANG, Jun YANG, Rongchang CHEN

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Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

“…But the method that is being suggested uses a cloud-based and cloud-based four-step process to improve surveillance of patients’ health information. …”
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Deep learning-based crack detection and prediction for structural health monitoring by Satyabrata Roy, Biswarup Yogi, Raj Majumdar, Pritha Ghosh, Sourav Kumar Das

“…Detection performance is improved by fine-tuning VGG16 using transfer learning. Robust segmentation and identification are provided by U-Net and Swin Transformer. …”
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Learning from feces: a case study teaching microbiome analysis by Aeisha Thomas, Debra Davis, Jasmine Faue, Sierra Kicker

“…This case study was successfully implemented in Microbiology courses for both majors and non-majors as a multi-step module on microbiomes. This manuscript presents the case development process that includes undergraduate authors, learning objectives, teaching materials and the results of implementation. …”
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Coordinated Learning by Model Difference Identification in Multiagent Systems with Sparse Interactions by Qi Zhang, Peng Jiao, Quanjun Yin, Lin Sun

“…Multiagent Reinforcement Learning (MARL) is a promising technique for agents learning effective coordinated policy in Multiagent Systems (MASs). …”
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Deep Learning-Based Active Jamming Suppression for Radar Main Lobe by Yilin Jiang, Yaozu Yang, Wei Zhang, Limin Guo

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Transfer learning and multi-phase training for accurate diacritization of Arabic poetry by Gheith A. Abandah, Ashraf E. Suyyagh, Mohammad R. Abdel-Majeed

“…Moreover, diacritizing a poetry verse is an essential step to analyze it for classification and evaluation. …”
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Synergistic application of molecular docking and machine learning for improved binding pose by Li Yaqi, Lin Hongrui, Yang He, Yuan Yannan, Zou Rongfeng, Zhou Gengmo, Zheng Linfeng, Zheng Hang

“…Accurate prediction of protein-ligand complex structures is a crucial step in structure-based drug design. Traditional molecular docking methods exhibit limitations in terms of accuracy and sampling space, while relying on machine-learning approaches may lead to invalid conformations. …”
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Promoting online teaching through active learning strategies: applications and innovations by Ahmed Hassan Rakha

“…It should be enjoyable, engaging, collaborative, and comfortable, which can be achieved through the implementation of active learning strategies in an online environment. Therefore, this study focused on the effectiveness of online active learning techniques—think-pair-sharing, timed pair sharing, three-step interviews, jigsaw, and case studies—on students' cognitive achievement and attitudes toward online learning. …”
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Transfer Learning for Distance Classification of Marine Vessels Using Underwater Sound by Decrop Wout, Deneudt Klaas, Parcerisas Clea, Schall Elena, Debusschere Elisabeth

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Document-Level Neural TTS Using Curriculum Learning and Attention Masking by Sung-Woong Hwang, Joon-Hyuk Chang

“…During synthesis, the document-level text is synthesized using only the necessary contexts of the current time step and masking the rest through an attention-masking mechanism. …”
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Deep Learning-Based Draw-a-Person Intelligence Quotient Screening by Shafaat Hussain, Toqeer Ehsan, Hassan Alhuzali, Ali Al-Laith

“…This research represents a significant step towards expediting and enhancing the IQ screening for psychologists working with diverse age groups.…”
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Hand Gesture Recognition in Indian Sign Language Using Deep Learning by Harsh Kumar Vashisth, Tuhin Tarafder, Rehan Aziz, Mamta Arora, Alpana

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Enhancing security in social computing systems through knowledge learning techniques by Anitha Rajesh, Ramamurthy DineshKumar, Saranya Shanmugam, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…Computed and behavioural data authentications are separated through knowledge-based learning to reduce the amount of security overheads. …”
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Digital Educational History Database Structure for Solving Learning Analytics Tasks by Tatyana Zykova, Alexey Kytmanov, Tatyana Kustitskaya, Roman Esin

“…Based on the proposed tools that increase the transparency of the educational process and facilitate the identification of problem areas, it becomes possible to make more informed decisions regarding, for example, the modernization of curricula or individual courses implementing disciplines of the educational program, forming admission targets based on identifying trends in demand for training in various educational programs, identifying critical points of educational programs where the greatest loss of students occurs, etc. An important step here is designing the architecture of the higher education institution database in such a way that data on students is collected and stored in a form that can greatly facilitate the creation of learning analytics tools.…”
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Application of machine learning models in predictive maintenance of Francis hydraulic turbines by Júlio César Silva de Souza, Oswaldo Honorato Júnior, Geraldo Lúcio Tiago Filho, Otávio Augusto Salgado Carpinteiro, Hailton Silveira Domingues Biancardine Júnior, Ivan Felipe Silva dos Santos

“…This article proposes a cavitation monitoring system based on the analysis of vibration spectra via two Machine Learning (ML) models: a Multilayer Perceptron (MLP) neural network and a Radial Basis Function (RBF) neural network. …”
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FEATURE SELECTION AND CLASSIFICATION OF LEUKEMIC CELLS USING IOT AND MACHINE LEARNING by K. R.Vineetha, Kovvuri N. Bhargavi, G. L. Narasamba Vanguri, Jenifer Mahilraj, V. Kannan

“…Machine learning and the Internet of Things (IoT) have affected every step of the leukemia process, from diagnosis to understanding to therapy. …”
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Computational design exploration of rocket nozzle using deep reinforcement learning by Aagashram Neelakandan, Arockia Selvakumar Arockia Doss, Natrayan Lakshmaiya

“…Deep Reinforcement Learning (DRL) has emerged as a powerful tool for solving high-dimensional optimization problems in complex, unexplored domains. …”
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Federated Learning-Based CNN Models for Orthodontic Skeletal Classification and Diagnosis by Demet Süer Tümen, Mehmet Nergiz

“…This research aims to evaluate the effectiveness of federated learning (FL) for orthodontic skeletal classification by comparing its performance against centralized learning (CL) and local learning (LL). …”
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