Smart adaptive learning and optimized feature clustering for enhanced image retrieval by P. Umaeswari, Sujata Patil, Parameshachari Bidare Divakarachari, Przemysław Falkowski-Gilski

Subjects: “…Entropy-based divergence function…”
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Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

Subjects: “…objective physical function assessment…”
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Robot-assisted knee arthroplasty: Analyzing the learning curve and initial institutional experience by Leandro Ejnisman, Eliane Antonioli, Luciana Cintra, Pamela Gabriela de Oliveira Souza, Lauro Augusto Veloso Costa, Mario Lenza

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Impact of visual stimulus complexity on associative learning and associated reaction times in migraine patients by Kálmán Tót, Gabriella Eördegh, Noémi Harcsa-Pintér, Adél Papp, Balázs Bodosi, Gábor Braunitzer, János Tajti, Anett Csáti, Attila Nagy

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Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

Subjects: “…reinforcement learning…”
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Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization by Bhanu Jain, Manfred Huber, Ramez Elmasri

“…Increasing utilization of machine learning based decision support systems emphasizes the need for resulting predictions to be both accurate and fair to all stakeholders. …”
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An in vivo systemic massively parallel platform for deciphering animal tissue-specific regulatory function by Ashley R. Brown, Ashley R. Brown, Grant A. Fox, Grant A. Fox, Irene M. Kaplow, Irene M. Kaplow, Irene M. Kaplow, Alyssa J. Lawler, Alyssa J. Lawler, BaDoi N. Phan, BaDoi N. Phan, BaDoi N. Phan, Lahari Gadey, Lahari Gadey, Morgan E. Wirthlin, Morgan E. Wirthlin, Easwaran Ramamurthy, Easwaran Ramamurthy, Gemma E. May, Ziheng Chen, Qiao Su, Qiao Su, C. Joel McManus, Robert van de Weerd, Robert van de Weerd, Andreas R. Pfenning, Andreas R. Pfenning, Andreas R. Pfenning

“…Here, we introduce a systemic MPRA (sysMPRA) to address these challenges through systemic intravenous AAV viral delivery.Results: We demonstrate successful transduction of the MPRA library into diverse mouse tissues, efficiently identifying tissue specificity in candidate enhancers and aligning well with predictions from machine learning models. We highlight that sysMPRA effectively uncovers regulatory effects stemming from the disruption of MEF2C transcription factor binding sites, single-nucleotide polymorphisms, and the consequences of genetic variations associated with late-onset Alzheimer‘s disease.Conclusion: SysMPRA is an effective library delivering method that simultaneously determines the transcriptional functions of hundreds of enhancers in vivo across multiple tissues.…”
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Research on the diagnosis model of osteoarthritis based on methylation-related genes using machine learning algorithms by Xu Cui, Houlin Ji, Shengyang Guo, Ju Liu, Linyuan Zhang, Yongwei Jia, Yin Cui, Xiaoxiao Zhou

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AB EVALUATION OF LEARNING ATTITUDE AND ACHIEVEMENT OF SMALL AND MEDIUM SCALE ENTERPRISES IN NIGER STATE NIGERIA by Abdulrazak Mohammed

Subjects: “…Learning Attitude, competitor attitude, inter-functional coordination, performance,…”
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LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

“…Second, integrating the Swish activation function further improves accuracy to 94.04% by enhancing the model’s non-linear feature learning. …”
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A comprehensive survey of scoring functions for protein docking models by Azam Shirali, Vitalii Stebliankin, Ukesh Karki, Jimeng Shi, Prem Chapagain, Giri Narasimhan

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Machine learning-supported manufacturing: a review and directions for future research by Baris Ördek, Yuri Borgianni, Eric Coatanea

Subjects: “…Machine learning…”
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An Optimized Model for Identification of Cerebral Palsy Using Deep Learning by Md Anjar Ahsan, Hassan bin Mohammed, Abhilash Maroju, Nurhafizah Moziyana Mohd Yusop, Wan Su Emi Yusnita Wan Yusof, Najjah Salwa Abd Razak, Mohd Arif Dar

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Machine learning-based spirometry reference values for the Iranian population: a cross-sectional study from the Shahedieh PERSIAN cohort by Mohammad Sadegh Loeloe, Reyhane Sefidkar, Seyyed Mohammad Tabatabaei, Amir Houshang Mehrparvar, Sara Jambarsang

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Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning by Minjie Ma, Xuewei Wang, Yang Li, Jia Wang

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High-quality control of receiver functions using a capsule neural networkKey points by Mona H. Hegazi, Ahmad M. Faried, Omar M. Saad

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The Comparison of Activation Functions in Feature Extraction Layer using Sharpen Filter by Oktavia Citra Resmi Rachmawati, Ali Ridho Barakbah, Tita Karlita

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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction by Katerina Eyre, Moezedin Javad Rafiee, Margherita Leo, Junjie Ma, Elizabeth Hillier, Negin Amini, Josephine Pressacco, Martin A. Janich, Xucheng Zhu, Matthias G. Friedrich, Michael Chetrit

Subjects: “…Cardiac function…”
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Cost-sensitive regression learning on small dataset through intra-cluster product favoured feature selection by Fangfang Xu, Huan Zhao, Weihua Zhou, Yun Zhou

“…The experimental results show that the ICPF algorithm significantly reduces the number of dimensions of the selected feature set and improves the performance of cost-sensitive regression learning. The misprediction cost decreased by 33.5% (linear-linear cost function) and 32.4% (quadratic-quadratic cost function) after adopting the ICPF algorithm. …”
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EFFECT OF HABITUAL MUSIC LISTENING ON ATTENTION, LEARNING, AND MEMORY: AN OBSERVATIONAL CROSS-SECTIONAL STUDY AMONG STUDENTS IN VIJAYAWADA. by Srija Kachana, Lakshmi Divya Yadavalli, Srujana Dampetla, Wunnava Maruthi, Indla Devasena

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