Transfer Learning based Image Classification of Diseased Tomato Leaves with Optimal Fine-Tuning combined with Heat Map Visualization by Sivakumar Palanıswamy, Vijayakumar Vaıthyam Rengarajan, Sandhya Devi Ramıah Subburaj

“…Plant disease detection and disease classification at initial stages for sensitive commodities like tomatoes and potatoes is highly mandated as the harvest losses have a direct impact on the price fixation of the vegetables. …”
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Fine-Tuned Machine Learning Classifiers for Diagnosing Parkinson’s Disease Using Vocal Characteristics: A Comparative Analysis by Mehmet Meral, Ferdi Ozbilgin, Fatih Durmus

“…Six different machine learning classifiers, namely SVM, k-NN, DT, NN, Ensemble and Stacking models, were developed and optimized via Bayesian Optimization (BO), Grid Search (GS) and Random Search (RS). …”
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HouseGanDi: A Hybrid Approach to Strike a Balance of Sampling Time and Diversity in Floorplan Generation by Azmeraw Bekele Yenew, Beakal Gizachew Assefa, Elefelious Getachew Belay

“…The multimodality allows our model to jump a number of denoising steps while capturing data distributions. …”
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Determination of Flood Subsidy (2023/2024) Based on SAR Images for Agricultural Land in Lower Saxony, Germany by C.-H. Yang, C. Stemmler, C. Röttger, C. Büker

“…EFTAS leveraged Synthetic Aperture Radar (SAR) data, primarily from Sentinel-1, to develop a semi-automated process for detecting and quantifying flood coverage over multiple time points. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Most authors divided their data sets into 60–90% for training and 10–40% for testing. …”
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Redefining customer connections in the UAE’s digital era: A study on emerging technological synergies by Hussam Ali, Ehab Haikal

“…Digital inclusivity remains moderate (mean = 3.60), reflecting disparities in access and digital literacy. …”
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Sulfur fumigation of botanical drugs: impact on chemical composition and pharmacological properties, and advances in detection technologies by Weiyi Xu, Hongyu Jin, Ying Wang, Feng Wei, Jing Liu

“…Promoting safe alternative drying methods, including natural and hot-air drying, along with desulfurization techniques, can significantly reduce the damage caused by sulfur fumigation to the chemical composition of botanical drugs. …”
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Enhanced gap-filling for satellite-derived crop monitoring using temperature-driven reconstruction techniques by Flavian Tschurr, Lukas Valentin Graf, Achim Walter, Helge Aasen

“…By employing a probabilistic ensemble Kalman filtering data assimilation scheme, we can integrate high-resolution air temperature data and satellite imagery while quantifying uncertainties. …”
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Development and validation of a risk prediction model for depression in patients with chronic obstructive pulmonary disease by Tong Feng, PeiPei Li, Ran Duan, Zhi Jin

“…Results Significant predictors of depression included sleep disturbances, age, poverty, hypertension, and comorbidities like cardiovascular disease. …”
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A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions by Boyuan Wang, Ying Zheng, Xihao Han, Liang Kong, Gexin Xiao, Zunxiong Xiao, Shanji Chen

“…These AI-powered glasses can offer real-time, personalized dietary and health management recommendations tailored to users’ daily life scenarios. …”
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Smart deep learning model for enhanced IoT intrusion detection by Faisal S. Alsubaei

“…Existing approaches, however, are usually hampered by the inability to effectively counter the sophisticated and evolving nature of such threats, especially in preprocessing optimization and hyperparameter tuning, which typically adopt conventional machine learning and deep learning models. This paper addresses these limitations with large preprocessing steps followed by hyperparameter tuning of machine learning XGBoost and deep learning Sequential Neural Network (OSNN) algorithms through Grid Search for their best values to improve multiclass intrusion detection across varied datasets. …”
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Design and Analysis of a Serial Manipulator for Pick and Drop Objects for Material Handling at Uiri Metal Forming Workshop. by Behangana, Abert

“…This dissertation focused on the design and analysis of a 3-degree-of-freedom (3-DOF) serial manipulator tailored for handling hot objects at the UIRI metal forming workshop. …”
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Diet Engine: A real-time food nutrition assistant system for personalized dietary guidance by Asim Moin Saad, Md. Raihanul Haque Rahi, Md. Manirul Islam, Gulam Rabbani

“…The system features modules using deep learning (DL) and Convolutional Neural Networks (CNNs) to detect food, as well as textual analysis and natural language processing (NLP) to estimate components such as nutritional content. …”
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Debris-covered glaciers mapping based on machine learning and multi-source satellite images over Eastern Pamir by Aamir Feroz, Shuang Liang, Gunayu Li, Xinwu Li, Zahid Ur Rahman, Bojin Yang

“…It successfully delineated debris-covered glacier boundaries that closely matched established glacier inventories while offering a more detailed mapping of debris extent. …”
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Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence by David B. Olawade, Kusal Weerasinghe, Mathugamage Don Dasun Eranga Mathugamage, Aderonke Odetayo, Nicholas Aderinto, Jennifer Teke, Stergios Boussios

“…This review provides a comprehensive overview of the current applications and future potential of AI in ophthalmology. AI algorithms, particularly those utilizing machine learning (ML) and deep learning (DL), have demonstrated remarkable success in diagnosing conditions such as diabetic retinopathy (DR), age-related macular degeneration, and glaucoma with precision comparable to, or exceeding, human experts. …”
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Machine Learning Modelling for Soil Moisture Retrieval from Simulated NASA-ISRO SAR (NISAR) L-Band Data by Dev Dinesh, Shashi Kumar, Sameer Saran

“…This study aimed to assess soil moisture and dielectric constant retrieval over agricultural land using machine learning (ML) algorithms and decomposition techniques. …”
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Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO by Sachikanta Dash, Sasmita Padhy, Preetam Suman, Sandip Mal, Lokesh Malviya, Amrit Suman, Jaydeep Kishore

“…All these encompassing strategies are designed to improve prediction precision and facilitate proactive diabetes control. …”
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Neurophysiological Approaches to Lie Detection: A Systematic Review by Bewar Neamat Taha, Muhammet Baykara, Talha Burak Alakuş

“…<b>Background and Objectives:</b> Lie detection is crucial in domains such as security, law enforcement, and clinical assessments. …”
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Instagram's impact on dental consumers: analyzing toothpaste hashtags by Khalifa S. Al-Khalifa, Rasha AlSheikh, Basmah O. Alakloby, Hind M. Alharbi, Razan F. Alghamdi, Saqib Ali, Laila Al Dehailan

“…Moreover, whether the poster was a dentist, patient, or dental interest group was identified. …”
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Intellectual or developmental disabilities and curative female breast cancer treatment: A population-based retrospective cohort studyLay summary by Rebecca L. Hansford, Brooke Wilson, Rebecca Griffiths, Alyson L. Mahar

“…Background: Adults with intellectual or developmental disabilities (IDD) diagnosed with breast cancer are more likely to die than those without IDD. …”
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