Hybrid deep learning-enabled framework for enhancing security, data integrity, and operational performance in Healthcare Internet of Things (H-IoT) environments by Nithesh Naik, Neha Surendranath, Sai Annamaiah Basava Raju, Chennaiah Madduri, Nagaraju Dasari, Vinod Kumar Shukla, Vathsala Patil

“…The proposed framework achieved an average F1-score of 94.3% for anomaly detection and a 96.1% accuracy in access decision classification. …”
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Language Learning Opportunities Abroad and International Student Mobility to China by Jingjing Lyu, Yue Huang

“…This paper argues that exposure to the destination country’s language and culture is a critical determinant of students’ decisions to study abroad in that country. JEL Classification: F22, I20, N30.…”
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Artificial Intelligence With Neural Network Algorithms in Pediatric Astrocytoma Diagnosis: A Systematic Review by Floresya K. Farmawati, Della W.A. Nurwakhid, Tifani A. Pradhea, Rayyan Fitriasa, Hutami H. Arrahmi, Muhana F. Ilyas, Fadhilah T. Nur

“…The AI models exhibited performance levels comparable to or exceeding that of expert radiologists, with metrics such as tumor classification accuracy of 92% and high values of the area under the receiver operating characteristic curve.Conclusions: AI with neural network algorithms shows significant promise in enhancing accuracy of pediatric astrocytoma diagnosis. …”
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Intimate partner violence during pregnancy against 601,534 women aged 15 to 49 years in 57 LMICs: prevalence, disparities, trends and associated factors using Demographic and Healt... by David Jean Simon, Vénunyé Claude Kondo Tokpovi, Adama Ouedraogo, Kassoum Dianou, Ann Kiragu, Comfort Z. Olorunsaiye, Bénédique Paul

“…The pooled prevalence of IPVDP was 6.3% (95% CI 6.2–6.4). The Eastern Mediterranean region recorded the highest prevalence of IPVDP (11.3% [95% CI 10.8–11.9]), while the South-East Asia region (3.3% [95% CI 3.0–3.5]) the lowest. …”
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A Dual-Feature Framework for Enhanced Diagnosis of Myeloproliferative Neoplasm Subtypes Using Artificial Intelligence by Amna Bamaqa, N. S. Labeeb, Eman M. El-Gendy, Hani M. Ibrahim, Mohamed Farsi, Hossam Magdy Balaha, Mahmoud Badawy, Mostafa A. Elhosseini

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Near-field sound source localization using principal component analysis–multi-output support vector regression by Lanmei Wang, Yao Wang, Guibao Wang, Jianke Jia

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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

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A Portable Real-Time Electronic Nose for Evaluating Seafood Freshness Using Machine Learning by Muhammad Rafi Mahfuz Setyagraha, Hurul Aini Nurqamaradillah, Laksamana Mikhail Hermawan, Nyoman Raflly Pratama, Ledya Novamizanti, Dedy Rahman Wijaya

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Artificial intelligence in imaging for liver disease diagnosis by Chenglong Yin, Chenglong Yin, Huafeng Zhang, Jin Du, Jin Du, Yingling Zhu, Yingling Zhu, Hua Zhu, Hua Zhu, Hongqin Yue, Hongqin Yue

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LiDAR-driven Topographic Surveys for Floodplain Management by E. S. Malinverni, F. Di Stefano, S. Chiappini, G. Darvini, D. Fronzi, R. Pierdicca, A. Tazioli

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Harnessing deep learning to monitor people’s perceptions towards climate change on social media by Ana Sofia Cardoso, Catarina da Silva, Andrea Soriano-Redondo, Ivan Jarić, Susana Batel, João Andrade Santos, Alípio Jorge, Ana Sofia Vaz

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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

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Canned Apple Fruit Freshness Detection Using Hybrid Convolutional Neural Network and Transfer Learning by Mudasar Iqbal, Syed Tahseen Haider, Rana Saud Shoukat, Saif Ur Rehman, Khalid Mahmood, Santos Gracia Villar, Luis Alonso Dzul Lopez, Imran Ashraf

“…The proposed technique involves data collection of apple fruit, image segmentation, and preprocessing, creating the neural network model, training the network model, and testing for apple freshness prediction. …”
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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

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eXplainable Artificial Intelligence for Hip Fracture Recognition by Enrique Queipo-de-Llano, Marius Ciurcau, Alejandro Paz-Olalla, Belén Díaz-Agudo, Juan A. Recio-García

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Development of a Method for Evaluating H2-Filling Stations by Bastian Nolte, Dominik Gollnick, Armin Stein, Thomas Vietor

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Using Machine Learning for Analysis of Wideband Acoustic Immittance and Assessment of Middle Ear Function in Infants by Shan Peng, Yukun Zhao, Xinyi Yao, Huilin Yin, Bei Ma, Ke Liu, Gang Li, Yang Cao

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Explainable AI reveals tissue pathology and psychosocial drivers of opioid prescription for non-specific chronic low back pain by Michelle W. Tong, Katharina Ziegeler, Virginie Kreutzinger, Sharmila Majumdar

“…One-vs-one and one-vs-rest classification frameworks systematically evaluated treatment decisions across three prescriptions: no medication, NSAIDs, and opioids. …”
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Effects of Climate and Land Use Changes on Water Resources in the Taoer River by Jianwei Liu, Can Zhang, Limin Kou, Qiang Zhou

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Machine Learning-Based Scoring System to Predict the Risk and Severity of Ataxic Speech Using Different Speech Tasks by Bipasha Kashyap, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz

“…The algorithm builds machine-learning models to support a 3-tier diagnostic categorisation for distinguishing Ataxic Speech from healthy speech, rating the severity of Ataxic Speech, and nomogram-based supporting scoring charts for Ataxic Speech diagnosis and severity prediction. …”
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