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

“…In this research, a multiclass classification for the Urdu language was performed using a text dataset taken from five different social media platforms including Geo News, Samaa News, Dawn News, Express News, and Urdu Blogs totaling 103,771 sentences. …”
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Learning with noisy labels via clean aware sharpness aware minimization by Bin Huang, Ying Xie, Chaoyang Xu

“…Based on these analyses, a clean aware sharpness aware minimization algorithm known as CA-SAM is proposed. CA-SAM dynamically divides the training data into possible likely clean and noisy datasets based on the historical model output and uses likely clean samples to determine the direction of the parameter perturbation. …”
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Analytical and Geometric Foundations and Modern Applications of Kinetic Equations and Optimal Transport by Cécile Barbachoux, Joseph Kouneiher

“…Building upon but distinctly extending classical hypocoercivity approaches, we demonstrate how geometric control, via commutators and curvature-like structures in probability spaces, resolves degeneracies inherent in kinetic operators. …”
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Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis by Xuze Wang, Ailixiati Wumaier, Jun Wang, Dejuan Song, Yiting Cai, Jin Han, Wei Han, Zhi Fang

“…PurposeThis study aims to conduct a bibliometric analysis of global publications on the application of artificial intelligence (AI) in high myopia (HM).MethodsWe retrieved publications on AI in HM from the Web of Science Core Collection (WoSCC) database, MEDLINE and Chinese Science Citation Database (CSCD) with data up to 2024. …”
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MRI-based brain tumor ensemble classification using two stage score level fusion and CNN models by Oussama Bouguerra, Bilal Attallah, Youcef Brik

“…Nine deep learning models are then trained and tested on the enhanced dataset, experimenting with five optimizers. …”
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Hybrid Filtering Technique for Accurate GNSS State Estimation by Jahnvi Verma, Nischal Bhattarai, Thejesh N. Bandi

“…For the real-world dynamic dataset, our method also provides a better fit to the measurements than the classical algorithms.…”
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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“… This paper aimed to investigate human emotion recognition through the analysis of facial expressions, using both classical machine learning methods and advanced techniques based on deep neural networks. The research compares the performance of classical machine learning algorithms (such as K-Nearest Neighbors, Gaussian Naive Bayes, Support Vector Machines, Adaptive Boosting, Decision Tree, and Random Forest) with the modern deep learning methods (such as Convolutional Neural Networks, Deep Neural Networks, and Recursive Neural Networks) using standardized datasets. …”
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Current status and future prospects of the application of artificial intelligence in clinical practice by LI Xinyu, YUAN Qian, ZHU Fenglei, YANG Tao

“…AI methods such as machine learning and deep learning, have shown great potential in areas like disease diagnosis and early screening, treatment plan recommendations, drug development, and clinical trials, significantly improving the efficiency of clinical medical research and services. …”
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Advances in Numerical Modeling for Heat Transfer and Thermal Management: A Review of Computational Approaches and Environmental Impacts by Łukasz Łach, Dmytro Svyetlichnyy

“…Sustainable computing practices, including energy-efficient algorithms and renewable-powered data centers, offer potential solutions. …”
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Artificial Intelligence and Internet of Things Integration in Pharmaceutical Manufacturing: A Smart Synergy by Reshma Kodumuru, Soumavo Sarkar, Varun Parepally, Jignesh Chandarana

“…This review also discusses recent trends, such as AI in drug discovery and blockchain for data traceability, with the intent to outline the future of autonomous pharmaceutical manufacturing. …”
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Machine learning approaches for grain seed quality assessment: a comparative study of maize seed samples in Malawi by Wisdom Richard Mgomezulu, Moses M. N. Chitete, Beston B. Maonga, Mthakati A. R. Phiri

“…The Deep Learning Convolutional Neural Network presented a 92% accuracy with slight fluctuations, mainly due to the simple and structured nature of the data, which was not in a grid-like or time series format. …”
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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…These methods are designed to capture, process, and interpret digital images and enable the extraction of important data from real-world environments. …”
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TSCAPE: time series clustering with curve analysis and projection on an Euclidean space by Jeremy Renaud, Raphaël Couturier, Christophe Guyeux, Benoit Courjal

“…The ever-growing use of digital systems has led to the accumulation of vast datasets, particularly time series, depicting the temporal evolution of variables and systems. …”
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Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

“…By combining dynamic power management strategies with energy harvesting from sources like thermal and vibrational energies this research explores the potential for creating durable and eco-friendly IoT systems. …”
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ChatGPT in education: Its value, accuracy, and regulation by Angelo Frank Pacala

“…The user should be able to delineate which data is incorrect. Furthermore, countries worldwide have passed laws and regulations to ensure that AI tools such as ChatGPT would not harm users. …”
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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…X-ray imaging is essential in medical diagnostics, particularly for identifying anomalies like respiratory diseases. …”
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Sequential Hybrid Integration of U-Net and Fully Convolutional Networks with Mask R-CNN for Enhanced Building Boundary Segmentation from Satellite Imagery by Rojgar Qarani Ismael, Haval Abduljabbar Sadeq

“… In the recent years, building boundary segmentation obtained significant advancement through using deep learning. The present algorithms, such as Convolutional Neural Network (CNN) are unable to detect buildings in challenging urban areas like occlusions. …”
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Global research trends in AI-assisted blood glucose management: a bibliometric study by Li Yuan, Li Yuan, Yangtian Wang, Meiping Xing, Tao Liu, Dan Xiang

“…BackgroundAI-assisted blood glucose management has become a promising method to enhance diabetes care, leveraging technologies like continuous glucose monitoring (CGM) and predictive models. …”
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Care for Pediatric Patellofemoral Instability Prior to Orthopaedic Referral by Emily Qian, MS, Ally A. Yang, MD, Halle Freiman, MD, MS, Corinna Franklin, MD

“…The primary care group was also found to be more likely to have already had recurrent dislocations (n = 18, 43.9%). …”
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Chemoreactomic study of fonturacetam effects: molecular mechanisms of influence on adipose tissue metabolism by O. A. Gromova, I. Yu. Torshin

“…Fonturacetam is the only nootropic drug indicated for the treatment of obesity.…”
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