DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation by Mingxin Gan, Hang Zhang

“…Deep neural networks have emerged as very appealing in learning effective representations in many applications. …”
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Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index by Yanbo Mai, Zheng Sheng, Hanqing Shi, Qixiang Liao

“…Besides, the improved XGBoost algorithm has the strongest learning and generalization capability to calculate missing values of atmospheric refractive index among the three algorithms. …”
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Unlocking Cognitive Horizons by Exploring the Influence of Maps on Primary School Pupils: An Examination Conducted in North Macedonia by Hüseyin Zahit Selvi, Edmond Jonuzi

“…The analysis shows that employing the maps and atlas led to an average enhancement in pupils' learning abilities, with an approximate mean increase of 31.45%.…”
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Forecasting of Ionospheric Total Electron Content Data Using Multivariate Deep LSTM Model for Different Latitudes and Solar Activity by Nayana Shenvi, Hassanali Virani

“…In this study, we have investigated and tested a multivariate long short-term memory (LSTM) deep learning model for its forecasting accuracy over different latitudinal regions during the solar quiet and solar active years. …”
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Prioritize Effective Factors of Scheduling in Tehran Metro Station with Fuzzy TOPSIS Model by Vinh Phuc Dung, Minh Tien Nhung

“…This research tries to provide an optimal data mining approach and machine learning principles to predict the route and select the optimal path in metro lines with minimum time, best speed, and minor errors in routing. …”
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Enhanced ResNet-50 for garbage classification: Feature fusion and depth-separable convolutions. by Lingbo Li, Runpu Wang, Miaojie Zou, Fusen Guo, Yuheng Ren

“…However, existing deep learning-based garbage image classification models generally suffer from low classification accuracy, insufficient robustness, and slow detection speed due to the large number of model parameters. …”
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Influence of junior high school students’ knowledge, attitudes, and practices on earthquake and tsunami preparedness simulations in Padang by Yulfiwanti Idha, Mayetti, Ihsan Indra

“…Data was collected through observation, focusing on the learning process and the school’s preparedness, including evacuation route planning. …”
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Enhancing real estate price prediction using optimized least squares moment balanced machine by Radian Khasani Riqi

“…The OLSMBM was benchmarked against five other machine learning models, including LSSVM, BPNN, ELSIM, Decision Tree, and Linear Regression. …”
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Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm by Zhenhua Yang, Hongwei Zhang, Sheng Li, Chaojun Fan

“…In order to predict the residual gas content in coal seam in front of roadway advancing face accurately and rapidly, an improved prediction method based on both drilling cuttings indices and bat algorithm optimizing extreme learning machine (BA-ELM) was proposed. The test indices of outburst prevention measures (drilling cuttings indices, residual gas content in coal seam) during roadway advancing in Yuecheng coal mine were first analyzed. …”
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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…Bayesian optimization (BO) has proved to be a suitable optimization method in these situations thanks to its sample efficiency and principled way of learning from previous data, but it typically requires that experiments are sequentially performed. …”
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Efficient anomaly detection in tabular cybersecurity data using large language models by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang, Yanqiong Liu

“…While traditional machine learning and deep learning methods have shown some success, they continue to face significant challenges in terms of generalization. …”
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Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10) by Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, Onyeka Emebo, Olugbenga Oluseun Oluwagbemi

“…Earlier studies have developed different deep learning architectures to offer solutions to the challenge of facial expression recognition. …”
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Unveiling engineering students’ challenges and coping strategies in English-medium instruction: a Q methodology study by Vararin Charoenpornsook, Athip Thumvichit

“…However, many students still struggle with learning various subjects in English. While the challenges in EMI are widely discussed in many studies, it is necessary to look into the specific coping strategies students employ. …”
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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

“…On the other hand, data-driven approaches such as machine learning models require large volumes of data to produce generalisable models. …”
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FROM TRADITION TO TRANSFORMATION: Decontextualization of Dayah in Aceh's Millennial Context by Mohd. Nasir, Syamsul Rizal, Zainuddin Zainuddin, Muhibuddin Muhibuddin, Mulyadi Mulyadi

“…</p><p><strong>Keywords</strong>: decontextualization, Islamic traditional learning, dayah, Aceh’s millineal</p>…”
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GastroHUN an Endoscopy Dataset of Complete Systematic Screening Protocol for the Stomach by Diego Bravo, Juan Frias, Felipe Vera, Juan Trejos, Carlos Martínez, Martín Gómez, Fabio González, Eduardo Romero

“…Publicly available endoscopy image databases are crucial for machine learning research, yet challenges persist, particularly in identifying upper gastrointestinal anatomical landmarks to ensure effective and precise endoscopic procedures. …”
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Where Environment Meets Cognition: A Focus on Two Developmental Intellectual Disability Disorders by I. De Toma, L. Manubens Gil, S. Ossowski, M. Dierssen

“…One of the most challenging questions in neuroscience is to dissect how learning and memory, the foundational pillars of cognition, are grounded in stable, yet plastic, gene expression states. …”
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Evaluation Of Educational Environment Based On Dundee Ready Education Environment Measure Inventory In Institute Of Nursing: A Cross-Sectional Study by Lubna Ghazal, Afia Ayyaz, Naila Iqbal, Saima Rafique, Aniqa Shoukat, Ayesha Afzal

“…Conclusion: The present study revealed that all groups of nursing students perceived the learning environment highly positively. Nevertheless, the study also revealed areas of the learning environment which can be improved further. …”
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Development of Algorithmic Competence of Students in Studying Mathematics: An Experimental Study of the Effectiveness of the Use of Information and Communication Technologies by Karassyova Lyubov Nikolaevna, Kostangeldinova Alma Akzhanovna, Ibraeva Saltanat Nurgazievna, Babaeva Adelia Doolotbayevna, Keldibekova Aida Oskonovna

“…Integrating ICT into the learning process appears to be a powerful tool for attaining these objectives. …”
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Quality Characteristics, Nutraceutical Profile, and Storage Stability of Aloe Gel-Papaya Functional Beverage Blend by Pushkala Ramachandran, Srividya Nagarajan

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