Pharmacovigilance in the digital age: gaining insight from social media data by Fan Dong, Wenjing Guo, Jie Liu, Tucker A. Patterson, Huixiao Hong

“…Advanced techniques like natural language processing and machine learning are increasingly being employed to extract meaningful information from social media data, aiding in early adverse drug event detection and real-time medication safety monitoring. …”
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A comprehensive survey of imbalanced learning methods for bankruptcy prediction by Tuong Le

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MobileNetV3: an efficient deep learning-based feature selection and classification technique for cardiovascular disease by B. Dhanalaxmi, B. Naveen Kumar, Yeligeti Raju, Rama Seshagiri Rao Channapragada

“…Missing data handling, outlier detection, normalization using min–max normalization methods, categorical data encoding, and transformation are all done during the pre-processing phase. …”
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Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements by Shuangping Li, Bin Zhang, Junxing Zheng, Dong Wang, Zuqiang Liu

“…However, current practices remain heavily reliant on manual inspection, which results in high operator dependency and low efficiency. Existing Light Detection and Ranging (LiDAR)-based methods also require skilled professionals for scanning and subsequent point cloud processing, thereby presenting technical challenges. …”
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High-Throughput ORB Feature Extraction on Zynq SoC for Real-Time Structure-from-Motion Pipelines by Panteleimon Stamatakis, John Vourvoulakis

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Speech emotion recognition with light weight deep neural ensemble model using hand crafted features by Jaher Hassan Chowdhury, Sheela Ramanna, Ketan Kotecha

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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

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Personality Analysis of Students’ Writing in Social Media-Based Learning Environments by Nisserine El Bahri, Zakaria Itahriouan, Anouar Abtoy, Mohammed Ouazzani Jamil

“…The findings demonstrate that the majority of the students’ personality traits were accurately identified in the written text of the students based on tested Natural Language Processing tools, and that strong data quality is a crucial factor in achieving good accuracy.…”
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A feasibility study on non-invasive and non-contact jugular venous pulse measurement using 60 GHz FMCW radar by Shatabdi Das, Hadi Afsharan, Girish Dwivedi, Coen Arrow, Omid Kavehei

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Solar-Blind Ultraviolet Four-Quadrant Detector and Spot Positioning System Based on AlGaN Diodes by Longfei Peng, Shangqing Li, Yong Huang, Yang Yang

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Efficient Storage Management of Optical Coherence Tomography Images using Zero-Shot Noise2Noise and a Custom Convolutional Neural Network by Alexandru-Robert FARCAŞ, Radu-Constantin FLEŞAR, Todor IVAŞCU, Sebastian-Aurelian ŞTEFĂNIGĂ

“…Our goal was to optimize storage usage and improve the efficiency of the CNN model in disease detection using compressed images. We employed the Zero-Shot Noise2Noise (ZS-N2N) denoising technique for image processing and a CNN for image classification. …”
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Infrared thermography for spatiotemporal analysis of high-temperature oxidation dynamics in AISI 1045 steel by Antony Morales-Cervantes, Gerardo Marx Chávez-Campos, Héctor Javier Vergara-Hernández, Jorge Sergio Téllez-Martínez, Maritza Fabiola León-Bejarano

“…This methodology shows potential for real-time industrial process monitoring and early failure detection in thermal management systems.…”
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The Evolution of Machine Learning in Vibration and Acoustics: A Decade of Innovation (2015–2024) by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…The main research areas include processes such as modeling and design, health management, condition monitoring, non-destructive testing, damage detection, and diagnostics. …”
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Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

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Next-Generation Computational Approaches for Biological Network Analysis by Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, Ahsan Jamal Memon, Muhammad Talha Nasir, Arleen Yousuf

“…Protein-protein interaction (PPI) networks are critical to understanding cellular processes and disease mechanisms. Computational advances have transformed PPI analysis, allowing for the prediction, analysis, and visualization of intricate interaction networks. …”
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Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

“…DAS makes use of Rayleigh backscattering to detect and measure dynamic strain and vibrations over extended distances. …”
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An Ensemble Patient Graph Framework for Predictive Modelling from Electronic Health Records and Medical Notes by S. Daphne, V. Mary Anita Rajam, P. Hemanth, Sundarrajan Dinesh

“…Advanced Natural Language Processing (NLP) models, including Clinical BERT, BioBERT, and BlueBERT, extract and integrate semantic representations from discharge summaries into a patient knowledge graph. …”
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COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT by Thabit Sultan Mohammed, Awni Ismail Sultan, Khattab M. Ali Alheeti, Karim Mohammed Aljebory, Hasan Ismail Sultan, Muzhir Shaban Al-Ani

“…This article presents a proposed approach to the detection and diagnosis of COVID-19 through the processing of cough collected from patients suffering from the most common symptoms of this pandemic. …”
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Novel hybrid transfer neural network for wheat crop growth stages recognition using field images by Aisha Naseer, Madiha Amjad, Ali Raza, Kashif Munir, Aseel Smerat, Henry Fabian Gongora, Carlos Eduardo Uc Rios, Imran Ashraf

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TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification by Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed

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