Enhanced Viral Genome Classification Using Large Language Models by Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain

“…Among these are traditional algorithms such as Random Forest (RF), K-nearest neighbors (KNNs), Decision Tree (DT), and Naive Bayes (NB), each offering unique advantages in handling genetic data. Additionally, deep learning models like Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Bi-Directional LSTM networks are utilized for their robust capabilities in capturing complex patterns and dependencies within genomic sequences. …”
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Multimodal image fusion for ich detection and classification using parallel Dl models by Sri Sangepu Nagaraju, S. Prince Mary, V. Pavani Chandra, Nandam Gayatri

“…The architecture starts with pre-processing to standardize and enhance multimodal data, and simultaneous DL models are included to analyze fused input for a comprehensive understanding of ICH patterns. …”
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Programmable Analog Circuits with Neuromorphic Nanostructured Platinum Films by Stefano Radice, Filippo Profumo, Francesca Borghi, Andrea Falqui, Paolo Milani

“…Abstract Self‐assembled nanoparticle or nanowire networks have recently come under the spotlight as systems able to emulate brain‐like data processing performances by exploiting the memristive character and the wiring of the junctions connecting the nanostructured network building blocks. …”
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Toward Improving Human Training by Combining Wearable Full-Body IoT Sensors and Machine Learning by Nazia Akter, Andreea Molnar, Dimitrios Georgakopoulos

“…Such sensor observations are continuously processed to synthesise an avatar-like kinematic model for each worker who is being trained, referred to as the worker’s digital twins. …”
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Pretext of the adoption of the 2024 Common European Asylum System reform and an early take on the potential effect by Novaković Marko

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THE EVOLUTION OF ORGANIC FARMING IN ROMANIA (2012-2023): TRENDS, CHALLENGES AND OPPORTUNITIES by Georgiana-Melania COSTAICHE, Anișoara CHIHAIA

“…The methodology used included the collection and processing of official statistical data, the application of quantitative analysis methods and the calculation of relevant statistical indicators. …”
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Sustainable Village Waste Operations in Muncar, Indonesia: Community Management and Economic Impact Lessons for Indonesia and Beyond by Akhmad Prasetyo Ibnu Toat, Hartati Kartikaningsih, Dini Atikawati

“…This study used a variety of methods, such as collecting data on waste production, judging the effectiveness of waste processing facilities, and polling people in the community to find out what role institutional frameworks like village-owned businesses (BUMDes) and community-based organizations (KSM) play in promoting sustainable waste governance. …”
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Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications by Thang Le Dinh, Manh-Chiên Vu, Giang T.C. Tran

“…The findings emphasize the importance of workforce training, robust technological infrastructure, data-driven cultures, and strategic partnerships for SMEs. …”
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Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models by Oluseyi Rotimi Taiwo, Helen Onyeaka, Elijah K. Oladipo, Julius Kola Oloke, Deborah C. Chukwugozie

“…These models represent the dynamic interactions between intrinsic and extrinsic food factors as mathematical equations and then apply these data to predict shelf life, spoilage, and microbial risk assessment. …”
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Heritage Preservation Using Laser Scanning: Architectural Digital Twins Using Al-Mu’izz Street as a Case Study by Marwa Abdelalim

“…This approach enhances the efficiency and accuracy of documentation, supports long-term conservation, and facilitates immersive public engagement. Quantitative data, including scan resolution and processing time, are used to assess the effectiveness of the adopted workflow. …”
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The Waste Management with Reward System Project Proposal: A Case Study of Bushenyi-Ishaka Monicipality in Uganda. by Turihabwe, Christopher, Ninsiima, Ivan

“…Waste management is the process of collecting, transporting, processing, recycling, and disposing of waste materials like empty bottles, and polythene bags, in a way that minimizes the negative impact on human health and the environment. …”
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The significant other in professional path planning and readiness for scientific activity: The case of Russian students and postgraduates by M. V. Prokhorova, A. V. Savicheva, L. A. Kozlova, L. E. Semenova

“…In the third part, the respondents reported about their readiness to build a scientific career. Primary data processing was carried out with the help of content-analysis. …”
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A FastSurfer Database for Age‐Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients by Ibrahim Zughayyar, Martin Bauer, Christopher Güttler, Ana Luisa de Almeida Marcelino, Fabienne Kühne, Claudia Buss, Christine Heim, Annette Aigner, Anna Tietze, Andrea Dell'Orco

“…Our findings suggest that FastSurfer is a reliable segmentation tool for pediatric data and is particularly promising for clinical practice due to its high accuracy despite rapid processing times. …”
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Methodology for the identification of bioactive and marker peptides in the organs of cattle and pigs by D. V. Khvostov, N. L. Vostrikova, I. M. Chernukha

“…All peptide sequences were defined with the help of mass spectrometric data processing databases like PepBank, BioPep, AHTPDB. …”
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Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques by Somia Ali, Uzma Jamil, Muhammad Younas, Bushra Zafar, Muhammad Kashif Hanif

“…However, for low-resource languages like Urdu, there is a scarcity of well-structured data for specific tasks such as event classification. …”
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An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features by A. Robert Singh, Suganya Athisayamani, Faten Khalid Karim, Ahmed Zohair Ibrahim, Sameer Alshetewi, Samih M. Mostafa

“…In recent years, deep learning, particularly convolutional neural networks (CNNs), has shown great success in various image processing tasks, including denoising, image compression, and enhancement. …”
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Enhancing the performance of neurosurgery medical question-answering systems using a multi-task knowledge graph-augmented answer generation model by Ting Pan, Jiang Shen, Man Xu

“…ObjectiveNeurosurgical intelligent question-answering (Q&A) systems offers a novel paradigm to enhance perceptual intelligence—simulating human-like cognitive processing for contextual understanding and emotion interaction. …”
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A Novel Framework for Saraiki Script Recognition Using Advanced Machine Learning Models (YOLOv8 and CNN) by Hafiz Muhammad Raza Ur Rehman, Syed Arfan Haider, Hiba Faisal, Kook-Yeol Yoo, M. Z. Jhandir, Gyu Sang Choi

“…On the other hand, machine learning is the study of how to teach machines to learn and predict using data instead of explicit programming. By combining these two domains, machine learning has emerged as a potent instrument in linguistics, improving our capacity to comprehend semantics, analyze verbal patterns, and even simulate human-like replies. …”
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The Efficacy of the Blended Learning Instruction: The Correlate Between Peculiarities and Outcomes by Cecilia Nja, John Arikpo Okri, Francis Ademola Sanda, Emmanuel Benimpuye Adie, Ekpenyong Effiong Ibok, Joy Joseph Obi, Bernard Atrogor Oko, Bernedette Cornelius-Ukpepi, Lovina Inah, Paul Agbade Olofu, Gladys Ukume

“… Background: Recently, students have learned in environments that welcome innovations like applying technology via blended instruction. …”
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Bioverse: Giant Magellan Telescope and Extremely Large Telescope Direct Imaging and High-resolution Spectroscopy Assessment—Surveying Exo-Earth O2 and Testing the Habitable Zone Ox... by Kevin K. Hardegree-Ullman, Dániel Apai, Sebastiaan Y. Haffert, Martin Schlecker, Markus Kasper, Jens Kammerer, Kevin Wagner

“…Assuming continued improvement in instruments and data processing, our analysis highlights the best-case scenarios. …”
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