Study Comparison Deep Learning and Support Vector Machine for Face Mask Detection by Rani Kurnia Putri, Muhammad Athoillah*

“…Both algorithms have proven to be powerful tools for any classification problem specially to classify or identify image patterns. …”
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Preliminary analysis of acoustic detection of the Red-throated Caracara in northern Costa Rica by Roberto Vargas-Masís, Diego Quesada

“…Advances in automatic acoustic detection have transformed bird ecology, allowing researchers to analyze bird populations using pattern matching algorithms, machine learning, and random forest models. …”
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Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods by Dorothée Coppieters ’t Wallant, Pierre Maquet, Christophe Phillips

“…To analyze spindle activity in a more robust way, automatic sleep spindle detection methods are essential. Various algorithms were developed, depending on individual research interest, which hampers direct comparisons and meta-analyses. …”
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GRAVITY ANOMALIES OF THE CRUST AND UPPER MANTLE FOR CENTRAL AND SOUTH ASIA by V. N. Senachin, A. A. Baranov

“…Numerous subsequent geophysical projects have researched the crust to a level sufficient to develop regional models, that can give quite adequate information on the depths of external and internal boundaries of the crust and suggest the distribution patterns of seismic velocities and density values. …”
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Recommendations for the development and implementation of a balanced scorecard based on studying the experience of Russian organisations by N. V. Kuznetsova, P. Yu. Leonov

“…As the article is written, patterns are revealed in the processes of implementation of personnel policies by the objects of research, formation of strategic goals, and realisation of a mechanism for disseminating information about the declared strategy among all official levels of the company. …”
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Electroencephalographic monitoring in detection and prediction of delayed cerebral ischemia due to non-traumatic subarachnoid hemorrhage by I. V. Okuneva, M. V. Sinkin, A. I. Evdokimov, A. V. Prirodov

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Intelligent Technologies and Robotic Machines for Garden Crops Cultivation by I. G. Smirnov, D. O. Khort, A. I. Kutyrev

“…It is noted that there is a need for developing special actuators, grippers and new control algorithms for harvesting horticulture products. (Research purpose) The research aimed to develop an intelligent control system for horticulture industrial technologies and robotic techniques for yield monitoring and fruit harvesting. …”
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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

“… With an emphasis on the upcoming ICC Champions Trophy 2025, which will be staged in Pakistan, our research paper examines the complex relationship between weather and cricket. …”
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Assessing the association between ADHD and brain maturation in late childhood and emotion regulation in early adolescence by Kristóf Ágrez, Pál Vakli, Béla Weiss, Zoltán Vidnyánszky, Nóra Bunford

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Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features by Islam Uddin, Salman A. AlQahtani, Sumaiya Noor, Salman Khan

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Innovative Approaches to Sustainable Urban Planning: Analysing Current Trends by Meruyert Baidrakhmanova, Gani Karabayev, Seimur Mamedov

“…The study includes a comprehensive review of relevant international research, along with examples of practical implementations of the findings. …”
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Shot based keyframe extraction using edge-LBP approach by H.M. Nandini, H.K. Chethan, B.S. Rashmi

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Hip-spine syndrome: Diagnostic difficulties by A. A. Kargaltsev, M. A. Makarov, S. A. Makarov, A. M. Lila

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Examining Deep Learning Techniques for Ethical Artificial Intelligence: Cleansing Malicious Comments from Users by Ji Woong Yoo, Kyoung Jun Lee, Arum Park

“…This study adds to the existing research by showing how advanced deep learning techniques can effectively identify and classify harmful comments by analyzing complex language patterns.…”
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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…The results showed that HLT, designed in stages, improved the four main components of CT: decomposition, abstraction, pattern recognition, and algorithmic thinking. The students experienced improvements in breaking down problems, devising more efficient solutions, recognising patterns in code structures, and systematically designing algorithms. …”
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Optimizing Energy Forecasting Using ANN and RF Models for HVAC and Heating Predictions by Khaled M. Salem, Javier M. Rey-Hernández, A. O. Elgharib, Francisco J. Rey-Martínez

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Technology acceptance model for online education: identifying interdisciplinary topics and their evolution based on BERTopic model by Songyu Jiang, Hao Li, Du Gan

“…This study aims to map the intellectual and thematic landscape of Technology Acceptance Model (TAM) research within online education, highlighting key patterns and emerging trends.A total of 6924 articles published between 2020 and 2024 were retrieved from Web of Science. …”
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SC-PREC4SA: A serially complete daily precipitation dataset for South America by Adrian Huerta, Roberto Serrano-Notivoli, Stefan Brönnimann

“…By integrating a unified framework and multiple outputs from 7794 stations, SC-PREC4SA provides a robust dataset that captures daily precipitation patterns with high to moderate accuracy and consistency. …”
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Impact of Climate Change on the Distributional Potential of the Endemic Species Tamarix dubia Bunge and Conservation Implications for the Irano‐Turanian Region by Habibollah Ijbari, Jamil Vaezi, Maryam Behroozian, Hamid Ejtehadi

“…ABSTRACT Climate change significantly influences species distribution patterns. Utilizing Ecological Niche Models (ENMs) in climate change research provides valuable insights into species–environment relationships and can inform conservation management decisions. …”
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Detecting Fraudulent Transaction in Banking Sector Using Rule-Based Model and Machine Learning by Cut Dinda Rizki Amirillah

“…This research aims to develop an effective fraud detection model in banking transactions using the rule-based model (RBM) approach and the isolation forest (IF) machine learning algorithm. …”
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