GRAPH-BASED METHODS FOR EXTRACTIVE ARABIC NEWS TEXT SUMMARIZATION
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
MLA: INTELLECTUAL DUAL KEY-BASED NODE AUTHENTICATION WITH MASTER LINKED AUDITOR NODE BEHAVIOUR-BASED MALICIOUS NODE DETECTION FOR SECURE DATA TRANSMISSION IN 6G ENABLED WSN
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
INTEGRATED GRU-LSTM MODEL WITH SENTIMENT FOR FOREX PREDICTION
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
IMPACT OF ASSET RESTRUCTURING ON FINANCIAL STABILITY AND BANK PERFORMANCE: EVIDENCE FROM THE INDIAN BANKING SECTOR USING DYNAMIC PANEL ANALYSIS
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
EFFECT OF SAND SHELL IMPROVEMENT USING POLYPROPYLENE FIBER AND CEMENT ON THE SEISMIC RESPONSE OF SMALL-SCALE ZONED EARTH DAM MODELS
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
MULTIMODAL MRI ANALYSIS FOR EARLY-STAGE ALZHEIMER’S DETECTION USING ATTENTION MECHANISMS
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
AN ADAPTIVE BUTTERFLY OPTIMIZATION-DRIVEN EXPLAINABLE CNN–TRANSFORMER FRAMEWORK FOR ACCURATE AND TRUSTWORTHY CLINICAL DIAGNOSIS
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
RECALIBRATING FDI PROMOTION POLICIES FOR ESG COMPLIANCE AND VALUE CREATION IN EMERGING MARKETS
In foreign direct investment (FDI) promotion, there is a traditional focus on investment volume measured by the number of projects, inflow of investment, and ease of approvals. But the rising demands for sustainability in the global environment have made investment quality, ESG compliance, and value creation the focus of FDI. This paper attem...
By Tran Do Bao Chau, Uyen Dinh Trinh, Le Quoc Hoi
MODIFIED ATTENTION U-DENSENET FOR 13-CLASS LUMBAR SPINE MRI SEGMENTATION
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
LATENT URBAN HERITAGE ASSESSMENT IN SAIGON HO CHI MINH CITY THROUGH HISTORICAL CARTOGRAPHY AND URBAN MORPHOLOGY
Ho Chi Minh City, historically known as Saigon, is being redeveloped at a pace that places pressure on heritage values located beyond protected monuments and colonial-era buildings. This study examines how earlier hydrological, settlement, commercial, defensive, administrative, and metropolitan structures remain visible or latent in the present urb...
By Minh Hieu Nguyen, Ngoc Quynh Giao Pham, Thi Minh Dieu Nguyen