The transformative power of artificial intelligence in pharmaceutical manufacturing: Enhancing efficiency, product quality, and safety by Mukesh Vijayarangam Rajesh, Karthikeyan Elumalai

“…The combination of big data and AI applications through machine learning algorithms analyzes manufacturing inefficiencies and recommends improvements for both medicine formulation and packaging as well as quality control measures. …”
Get full text

AI for tribology: Present and future by Nian Yin, Pufan Yang, Songkai Liu, Shuaihang Pan, Zhinan Zhang

Get full text

Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

Get full text

Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

Get full text

Research and predictive analysis of pyrolysis characteristics of multi-source organic solid wastes by ZHANG Zihang, XING Bo, MA Zhongqing, HU Yanjun, ZHANG Zhixiao, YUAN Shizhen, LU Rufei, CHEN Yingquan, WANG Shurong*

“…Experimental determination of thermochemical conversion characteristics of multi-source organic solid wastes is a time-consuming and labor-intensive process. By leveraging machine learning methods, the correlation mechanism between different feedstock properties and thermochemical characteristics can be explored to enable fast and accurate prediction. …”
Get full text

Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI by Nisreen Innab, Shtwai Alsubai, Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Silvia Trelova, Imran Ashraf

“…The performance of the proposed model is compared with other machine learning models to show the dominance of the proposed model. …”
Get full text

Optimizing ensemble learning for satellite-based multi-hazard monitoring and susceptibility assessment of landslides, land subsidence, floods, and wildfires by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farman Ali, Biswajeet Pradhan, Soo-Mi Choi

“…Past studies have relied mainly on traditional machine learning models, but these models do not perform well for complex spatial patterns. …”
Get full text

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…The performance of several advanced machine learning models was assessed, with the Efficient Linear Support Vector Machine (ELSVM) showing the highest accuracy in daily rainfall forecasting, yielding an R² value of 0.3868, indicating its ability to effectively capture the variability in rainfall. …”
Get full text

Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea by Daniele Padovano, Arturo Martinez-Rodrigo, José M. Pastor, José J. Rieta, Raul Alcaraz

Get full text

Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…Existing approaches often struggle with integrating structured numerical records and unstructured user behavior signals, limiting their ability to capture meaningful temporal and non-linear patterns. In the swiftly transforming domain of computational science, the incorporation of sophisticated machine learning algorithms has emerged as a critical driver in addressing these challenges. …”
Get full text

Advancing seasonal prediction of tropical cyclone activity with a hybrid AI-physics climate model by Gan Zhang, Megha Rao, Janni Yuval, Ming Zhao

“…Machine learning (ML) models are successful with weather forecasting and have shown progress in climate simulations, yet leveraging them for useful climate predictions needs exploration. …”
Get full text

Enhancing Network Security: A Study on Classification Models for Intrusion Detection Systems by Abeer Abd Alhameed Mahmood, Azhar A. Hadi, Wasan Hashim Al-Masoody

“…This study leverages AI methods to develop nine classification models using supervised machine learning classifiers. The author has implemented several machine learning models, including bagging, multi-layer perceptron, logistic regression, extreme gradient boosting, and random forest. …”
Get full text

Hybrid Intelligence approach to study post-processing impact on the mechanical performance of notched additively manufactured AlSi10Mg by Erfan Maleki, Sara Bagherifard, Okan Unal, Mario Guagliano

“…AI identified patterns and developed predictive models that provided deeper insights into how process parameters affect material properties and performance. …”
Get full text

Quality Metrics of Automated Machinery in Potato Plant Cultivation for Breeding and Seed Production by N. V. Sazonov, M. A. Mosyakov, V. S. Teterin, N. S. Panferov, M. M. Godyaeva, M. S. Trunov

“…(Research purpose) The research aims to determine the patterns of changes in the quality indicators of the machinery employed in cultivating potato plants. …”
Get full text

Botnet detection in internet of things using stacked ensemble learning model by Mudasir Ali, Muhammad Faheem Mushtaq, Urooj Akram, Daniel Gavilanes Aray, Manuel Masias Vergara, Hanen Karamti, Imran Ashraf

“…The KSDRM model successfully captures the complex patterns and traits of botnet attacks and obtains 99.99% training accuracy. …”
Get full text

Detection and Mitigation of Distributed Denial of Service Attacks Using Ensemble Learning and Honeypots in a Novel SDN-UAV Network Architecture by Mohamed Amine Ould Rabah, Hamza Drid, Yasmine Medjadba, Mohamed Rahouti

Get full text

Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling by Xueqian Gong, Zhanyuan Zhu, Li Guo, Yong Zhong, Deshun Zhang, Jing Li, Manqin Yao, Wei Yong, Mengjia Li, Yujie Huang

Get full text

Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks by Chong Li, Kunxue Zhang, Qunxing Lin, Shan Huang, Wanying Cheng, Yueshiyuan Lei, Xinyu Zhao, Jiubo Zhao

“…Abstract Background This study aimed to determine whether handwriting patterns are altered in individuals experiencing depressive episodes. …”
Get full text

The impact of climate change on economic growth in Somalia: using random forest and Bayesian approach by Bashir Mohamed Osman, Mohamud Hussein Mohamud, Abdi Falir Omar, Abdikadir Ali Yabarow, Omar Mohamed Omar, Mohamed sheikh Ali Jirow, Abdinasir Nur Dahir, Anisa Mohamed Nur

“…Somalia, a fragile state with an agriculture-based economy, remains highly vulnerable to climate-induced shocks such as rising temperatures, erratic rainfall patterns, and increasing CO2 emissions. This study examines the relationship between climate change and Somalia’s economic growth by analyzing the effects of temperature, rainfall, and CO2 emissions on GDP. …”
Get full text

Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

Get full text