journals

Abstract Self-Help Groups (SHGs) are critical in empowering female entrepreneurs by promoting self-employment and economic prospects. These groups promote entrepreneur empowerment events and encourage members to adopt competitive behavioral norms. However, despite SHG aid, Generation X (Gen-X) women entrepreneurs have difficulties in adopting technology, reducing their competitiveness. This study investigates the influence of technology adoption […]

Abstract This study examines how several economic and operational factors might forecast Non-Performing Assets (NPAs) in the banking sector. We proposed that macroeconomic indicators, interest rate changes, GDP growth rates, credit risk management strategies, loan monitoring efficiency, and industry-specific declines substantially impacted the occurrence and extent of Non-Performing Assets (NPAs). We used a one-sample t-test

Abstract Histopathology is the study of cellular structures, tissues and their abnormalities to diagnose a wide range of diseases, with a primary focus on cancer. The recent innovations and advancements in image analysis techniques and machine learning enable the histopathologists to automate the process of detection and classification of diseases observed in histopathology images. Traditional

Abstract ‘I-deals’ or Idiosyncratic deals are specialised, adaptable work patterns by mutual agreement between employees and their managers to meet demands of a dynamic work place. Innovative work behaviour also known as IWB is referred to as the employee behaviour that intends to create and introduce novel and valuable products, processes, innovations and ways of

Abstract Education can transform a person’s life by aiding in the development of reason and the attainment of freedom of expression. It entails a process of learning and teaching that progresses through various phases of development for both the instructor and the student. Black (2005), Chak de India (2007), Iqbal (2005), Mary Com (2014), Taare

Abstract The telecommunication sector becomes popular in recent years and service companies suffer from a loss of valued customers to competitors. In the operational area, customer churn is a challenging issue, which makes companies, loses customers, and therefore is of bigger issue for the industry. Recent technologies and competitors were developing quickly and churn prediction

Abstract Neurocognitive Disorders (NCDs) pose a substantial public health challenge, demanding timely detection and intervention to enhance patient outcomes. Recent strides in medical imaging have unveiled choroidal morphological alterations as a novel avenue for early NCD diagnosis. This study investigates the effectiveness of deep learning algorithms, particularly Residual neural networks (ResNet) and Visual Geometry Group

Abstract The purpose of this work is to improve the quality of medical services, to acquire financial benefits for hospitals, and to achieve beneficial social consequences. These are the goals and the motivations that are driving this work. Using the framework of deep learning, it studies the composition of medical linear accelerators, as well as

Abstract Antibiotic prescription pattern analysis in a hospital setting is critical to the sensible use of drugs. To reduce overall mortality and morbidity, rational antibiotic usage necessitates effective clinical and laboratory teamwork. In light of this, the pharmacology department undertook a two-year prospective observational study in collaboration with the Special Newborn Care Unit (SNCU) of

Abstract Oxygen-enriched combustion technology is an appealing option for enhancing the combustion process with reduced exhaust emissions in diesel engines. A study was conducted on a four-stroke single cylinder diesel engine to investigate how the combustion characteristics, exhaust emissions and performance are affected by oxygen-enriched air during partial and full load operating conditions. Specifically, the