The speed of the increasing digital content requires the creation of successful Automatic Text Summarization (ATS) systems. Although major improvements have been made in the summarization of high-resource languages, the summarization of Arabic texts has not been effectively studied, especially in terms of comparative studies of preprocessing method...

By Rasha Almutairi, Sahar Jambi, Tawfiq Hasanin

This study focuses on the ever-increasing challenge of ensuring the integrity of Sixth Generation (6G) enabled Wireless Sensor Networks (WSNs), which are highly vulnerable to malicious node attacks, thereby compromising network data integrity and efficiency. Conventional methods of cryptography do not necessarily resist advanced attacks like select...

By Pavan Vamsi Mohan Movva, Radhika Rani Chintala

This paper examines whether or not Augmented Reality (AR) is effective in the acquisition of vocabulary in neurodivergent language learners using the Cognitive Load Theory. The conventional teaching methods tend to cause a lot of extraneous cognitive load that poses a great obstacle to students with ADHD and Autism Spectrum Disorder. To combat this...

By S. Mohan Krishna, M.V. Sangameswar, B. Sujatha

In this study, the authors examine how journalism affects the societal awareness regarding 2D nanomaterials and their use in photocatalysis, using the content of the press from 2000 to 2025. The analytical approach and historical approach of the study help them to comprehensively examine a variety of sources, such as newspapers, archival repositori...

By Ala'a A. Al-Majdi, Safaa M. Almudhafar

Asset restructuring has become a key tool for banks to deal with non-performing assets (NPAs) and sustain banking sector health, especially in emerging economies like India where the quality of assets is a persistent issue. This study examines the effect of asset restructuring on financial performance and financial stability of the Indian scheduled...

By T.M. Rajesha, Safika Praveen Sheikh

The application of sand as shell materials in zoned earth dams is common due to its availability and economic factors. Nevertheless, it is necessary to analyze the performance of such materials under the simultaneous effect of seepage and earthquake loads, especially when the core of the structure is formed from low permeable materials. The present...

By Hussein Jassim Abdulsameea, Saleh Issa Khassaf

Alzheimer’s disease (AD) is a progressive neurodegenerative disease with an increasingly common prevalence all around the world, necessitating the development of an early, accurate, and minimally invasive diagnosis method for such a devastating condition. However, traditional diagnostic methods such as neuropsychological testing and PET scans...

By Ratnakala Patil, Sachinkumar Veerashetty

Clinically-oriented AI-based diagnostic systems have exhibited impressive predictive accuracies; however, their poor interpretability capabilities and incapability to optimize their learning parameters in  eal-time pose a major challenge towards implementing such solutions in the actual healthcare settings. To overcome such limitations, in thi...

By A Vaideghy, V Sridevi, D Saraswathi, L. S Sindhuja

Low back pain can be caused by lumbar disc disorders; however, correct segmentation of the structures of the vertebrae and the disc disorders using MRI is crucial for clinical evaluation. In this case, previous deep-learning segmentation approaches have mainly concentrated on the segmentation of anatomical structures and lacked pathology-aware disc...

By Rana Riyadh Saeed, Muhammad Amir As’ari, Ahmad Zahran Md Khudzari, Ahmed Sabeeh Yousif, Hadeel Mohamed Farook Alhialy, Mohamed Muyaser Naif

The incorporation of renewable energy sources and smart grids has resulted in the need for intelligent and adaptive energy management systems that are able to manage dynamic residential energy demands, uncertainties in renewable energy sources, and various constraints. Traditional optimization techniques and those based on artificial intelligence t...

By P. Bharath Kumar Chowdary, R. Sugumar, K. Saravanan, V.R. Vimal, R. Udayakumar