River water quality in monsoon-driven subtropical basins exhibits strong seasonal variability driven by hydroclimatic forcing and increasing anthropogenic pressure, posing challenges for reliable assessment and management. ...

This study presents the design of a hexagonal pattern photonic crystal fiber (PCF) using silicon carbide as the guiding material. This is achieved by modifying the PCF's geometrical characteristics, such as lattice pitch ...

Machine Learning (ML) and Deep Learning (DL) have emerged as transformative paradigms in modern computing, underpinning applications from natural language processing to autonomous systems and medical diagnostics. Central ...

The increasing number of online communities and social platforms like Twitter and Facebook has facilitated a level of information sharing never before seen in human history Consumers are generating and sharing more data ...

Early and accurate diagnosis of osteoporosis of the knee is of utmost significance for prompt treatment and planning. In this paper, we propose a hybrid deep learning system where Convolutional Neural Networks (CNNs) are ...

This study delves into the cutting-edge realms of machine learning (ML), emphasizing its applications in natural language processing (NLP), automated problem solving, AI and evolutionary algorithms, and intelligent information ...

The construction industry increasingly recognises the importance of digital transformation in improving productivity, efficiency, and competitiveness. However, the adoption of digital leadership (DL), a key enabler of ...

This study presents a comprehensive exploration of automated chili species classification using deep learning. We cover the full pipeline—data collection, preprocessing, model selection, and experimental analysis. A dataset ...

In the digital era, image galleries are overwhelmed with a plethora of irrelevant, low-quality, or unintentional captures, frequently neglected and rarely curated. This paper presents MessIm4, a novel and purpose-built ...

Sentiment Analysis has kept its landmark in Natural Language Processing by analyzing the text to extract sentimental value. The result usually goes with positive, negative, or neutral sentiment with necessary data ...