Braille Letter Introduction Method for Blind Children by Zarir Abiyyuda Pratama, Wahyu Hari Darmawan, Suparmi Suparmi

“…Blind people are individuals with visual impairments that cause obstacles in their visual function. There are two groups of blind people, namely total blindness and low vision. …”
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Predicting Carbon Residual in Biomass Wastes Using Soft Computing Techniques by Preety Verma, J. Godwin Ponsam, Rajeev Shrivastava, Ajay Kushwaha, Neelabh Sao, AL Chockalingam, Leena Bojaraj, null JaikumarR, S. Chandragandhi, Assefa Alene

“…To resolve this multiobjective formulation, we use a machine learning classifier that maps systematically the CO2 adsorption as a function of compositional and textural properties and adsorption parameters. …”
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Development of Reasoning Multiple Choice Questions (RMCQs) to Analyze Higher Order Thinking Skills by Diah Ayu Saputri, Mohammad Masykuri, Suryadi Budi Utomo

“…The assessment instrument is also applicative if used as an evaluation instrument in chemistry learning</span><span lang="IN">.</span>…”
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An Improved Hybrid Genetic Algorithm with a New Local Search Procedure by Wen Wan, Jeffrey B. Birch

“…The new HGA with two different LS methods (the TD and Neld-Mead simplex) is compared with a traditional HGA. Four benchmark functions are employed to illustrate the improvement of the proposed method with the new learning procedure. …”
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Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation by Yao Zheng, Jingyuan Li, Jianhe Cen, Shiqi Sun, Dahu Yin, Yuanzhuo Wang

“…TriELMR adopts three main strategies to reduce information loss during learning: (1) Knowledge Sequence Optimization; (2) EMLR Framework; and (3) Graph Activation Function. …”
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Distinct catecholaminergic pathways projecting to hippocampal CA1 transmit contrasting signals during navigation in familiar and novel environments by Chad Heer, Mark Sheffield

“…Therefore, to dissect the impacts of both VTA and LC circuits on hippocampal function, a thorough examination of how these pathways might differentially operate during behavior and learning is necessary. …”
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Interference Mitigation and Collision Avoidance of Dynamic UAVBSs Network via Mobility Control: A Game Theoretic Approach by Omar Ali Thabet, Didem Kivanc Tureli, Ufuk Tureli

“…The Utility-Driven Partial Synchronous Learning (UDPSL) algorithm speeds up convergence by using a learning algorithm. …”
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Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions by Ke-Lin Du, Bingchun Jiang, Jiabin Lu, Jingyu Hua, M. N. S. Swamy

“…Traditional machine learning methods can be extended to the kernel space, such as the radial basis function (RBF) network. …”
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DBSF: dual-branch boundary-supplemented framework for photovoltaic power station extraction by Bo Yu, Cheng Chen, Fang Chen, Huichen Zhao, Lei Wang

“…The local feature learning branch incorporates a boundary enhancement module (BEM) and an auxiliary boundary loss function to improve boundary accuracy. …”
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Metric‐based pill recognition with the help of textual and visual cues by Richárd Rádli, Zsolt Vörösházi, László Czúni

“…To enhance the metric learning procedure, dynamic margin setting is introduced into the loss function. …”
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Lorenz-PSO Optimized Deep Neural Network for Enhanced Phonocardiogram Classification by Awais Mahmood, Mousa Alhajlah, Habib Dhahri, Abdulaziz Almaslukh

“…Phonocardiogram is a crucial functional diagnostic tool in cardiology since cardiovascular disorders kill most people worldwide. …”
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Addressing cross-population domain shift in chest X-ray classification through supervised adversarial domain adaptation by Aminu Musa, Rajesh Prasad, Monica Hernandez

“…However, the effectiveness of machine learning models hinges on their ability to generalize to diverse patient populations, presenting domain shift challenges. …”
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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

“…In order to improve the training learning rate, Adam optimizer combining momentum algorithm and RMSprop algorithm is used to dynamically adjust the learning rate; the combination of the two algorithms makes the loss function converge to the lowest point faster. …”
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Ethnomathematics: Modelling the volume of solid of revolution at Buginese and Makassarese traditional foods by Zulfiqar Busrah, Hikmawati Pathuddin

“…However, in undergraduate study, there are still limited studies on integrating ethnomathematics in learning resources. This study aims to apply interpolation in modelling polynomial functions and integral volume on the shape of Buginese and Makassarese traditional foods. …”
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Development of neuro-didactic content aimed at developing the intelligence of younger schoolchildren by Zhazira Zhumabayeva, Rabiga Bazarbekova, Sazhila Nurzhanova, Assel Stambekova, Sholpan B. Kalbergenova

“…Likewise significant enhancements were noted in reasoning skills; on the Raven’s Test 52% of students from the group demonstrated high performance compared to only 38%, from the control group.DiscussionThe study has established that neurodidactic interventions improve cognitive abilities, executive function, and self-regulation in young learners. The Neurogymnastics course, which is more engaging and interactive than the traditional teaching methods, was found to be more effective in improving students’ interest and learning retention. …”
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Alternative audio-graphic method for presenting structural information in mathematical graphs designed for low-vision users by Ewa Dzierzgowska, Michał Maćkowski, Mateusz Kawulok, Piotr Brzoza, Stella Maćkowska, Dominik Spinczyk

“…Abstract Despite advances in assistive technologies, existing tools for teaching mathematics to students with low vision often fail to effectively convey structural information in graphs and function plots. Current methods, such as screen readers or magnifiers, are frequently limited in their ability to present complex visual data, leading to increased cognitive load and reduced learning efficiency. …”
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Foxp2 regulates gene networks implicated in neurite outgrowth in the developing brain. by Sonja C Vernes, Peter L Oliver, Elizabeth Spiteri, Helen E Lockstone, Rathi Puliyadi, Jennifer M Taylor, Joses Ho, Cedric Mombereau, Ariel Brewer, Ernesto Lowy, Jérôme Nicod, Matthias Groszer, Dilair Baban, Natasha Sahgal, Jean-Baptiste Cazier, Jiannis Ragoussis, Kay E Davies, Daniel H Geschwind, Simon E Fisher

“…Forkhead-box protein P2 is a transcription factor that has been associated with intriguing aspects of cognitive function in humans, non-human mammals, and song-learning birds. …”
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School Leadership and Management in the Age of Artificial Intelligence (AI): Recent Developments and Future Prospects by Turgut Karakose, Tijen Tülübaş

“…AI has incrementally begun to transform the ways teachers teach, students learn, and schools function with inevitable implications for school management and leadership. …”

Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS by Ahmed M. Elshewey, Enas Selem, Amira Hassan Abed

“…Abstract Chronic kidney disease is a persistent ailment marked by the gradual decline of kidney function. Its classification primarily relies on the estimated glomerular filtration rate and the existence of kidney damage. …”
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A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox by Jingbo Gai, Junxian Shen, He Wang, Yifan Hu

“…After that the learning rate and the number of batch learning in DBN which have great influence on the training error would be properly selected. …”
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