Search
350 articles for “Score”
-
Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
-
Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
-
Evaluating Web Content and Design Trends: A Comprehensive Study of Forest Institute Library Websites of ICFRE
Abstract: This study evaluates the website content and design features of forest institute libraries under the Indian Council of Forestry Research and Education (ICFRE). A comprehensive checklist comprising eight categories and 60 parameters was developed to assess nine regional forest institute websites systematically. The findings reveal that all websites (100%) feature visible and contrasted colour schemes with clear and easily readable text. Moreover, every institute’s website includes webmail functionality, copyright information, …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 · pp. 1–11 Read article
-
U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
-
Effects of Tendon Gliding Exercises on the Speed of Handwriting Among Female UG Students: Pilot Study
Abstract: Background: Handwriting is an intricate function which requires the combination of fine motor skills, visual and motor coordination abilities, and concentration. Handwriting involves two main movements: horizontal wrist motion and vertical finger movements, along with a rightward translation of the entire arm. Handwriting speed is an important factor in a student’s academic performance, particularly in fields such as statistics. The strength and flexibility of hand muscles can significantly influence writing …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
-
Brain Tumor Detection Using RestNet50 Architecture
Abstract: This paper presents a novel deep learning model for brain tumor diagnosis from MRI scans on the basis of ResNet50 with some modifications. Optimizing the modified layers and pre-trained ResNet50 for improved diagnostic accuracy and reliability in real-world clinical settings is one of the key contributions of this paper. The model was trained on an extremely well-balanced data of 2,577 MRI scans, which were split equally among the tumor and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
-
Enhancing MRO Documentation Through Automated Translation of Non-Standard English to Simplified Technical English Using Offline LLMS
Abstract: Maintenance, Repair, and Overhaul (MRO) operations rely heavily on accurate and consistent documentation to ensure operational safety and compliance. However, the presence of non-standard English in technical documents often leads to ambiguity, misinterpretation, and inefficiencies in maintenance processes. This study presents an innovative solution that leverages an offline Large Language Model (LLM) to automatically translate non-standard English in MRO documents into standardized and technically precise language. By integrating predefined linguistic …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 9–15 Read article
-
Infection Control awareness among Nursing students: Descriptive Insights from Ongoing Clinical Orientations in Odisha
Abstract: Background: Effective infection control practices are critical in preventing healthcare-associated infections (HAIs). Aim: This study aimed to assess the awareness regarding effective infection control measures among student nurses undertaking their initial clinical orientations at Hospitals. Method: The study accepted 64 respondents from II-year BSc Nursing, sampled in clusters from selected Hospitals, Odisha. Results: The students yielded a mean awareness score of 0.69, categorized as Good. A comparison revealed that female …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
-
Investigating The Alkalizing Potential of Chandanasava For Restoring Acid-Base Homeostasis in Renal Tubular Acidosis: A Computational and In Silico Pharmacological Study
Abstract: Chandanasava, a traditional Ayurvedic formulation, is recognized for its potential alkalizing properties, which may help restore acid-base homeostasis in conditions such as renal tubular acidosis (RTA). This study aims to investigate the active components of Chandanasava and their interactions with key renal target proteins, Pendrin and Carbonic Anhydrase II, which are essential for maintaining acid-base balance. An in silico approach was utilized to explore the pharmacological potential of the phytochemicals …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
-
Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
-
Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
-
Sleep Deprivation and Cognitive Performance: The Effects Of Varying Levels Of Sleep Deprivation On Cognitive Tasks
Abstract: The present study investigates the relationship between sleep deprivation and cognitive performance across various cognitive domains, with a focus on gender differences. A total of 139 participants were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Cognitive Failures Questionnaire (CFQ). The results revealed a moderate positive correlation between poor sleep quality and cognitive failures (r = 0.50, p < .001), indicating that individuals with greater sleep disturbances experienced …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 Read article
-
Evaluating the Effects of Self-Care Practices on Dermatology Patients at Sharda University Hospital
Abstract: Self-care is the ability of individuals, families and communities to promote their own health, prevent disease, maintain health, and to cope with illness with or without the support of a health or care worker." (WHO, 2020) This study looked into the demographics and self-care activities of patients who visited the Dermatology Department at Sharda Hospital. A descriptive survey design was used, with 50 participants aged 18-45 years selected using convenience …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 Read article
-
Multicriteria Decision Making using SR-Fuzzy Sets
Abstract: In this study, we introduce and explore square-root fuzzy sets (SR-Fuzzy sets), a novel extension within the realm of fuzzy set theory. We begin by establishing a comparative analysis between SR-Fuzzy sets and two well-known fuzzy set models: Intuitionistic Fuzzy Sets (IFS) and Pythagorean Fuzzy Sets (PFS). This comparison highlights the unique characteristics and mathematical structure of SR-Fuzzy sets. A particular focus is placed on the complement operator, which plays …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 12–20 Read article
-
Effectiveness of a Dental Exercise Protocol in Improving Forward Head Posture: A Case Series in Young Adults
Abstract: Background: Forward Head Posture (FHP) is a common postural disorder in young adults, often exacerbated by extended screen time and poor ergonomic practices. Neuromuscular interactions between the cervical spine and mandibular system may contribute to FHP. Objective: This case series investigates the effectiveness of a dental exercise protocol in improving FHP and mandibular function in college-aged individuals. Methodology: Five participants (3 males, 2 females; ages 18–24) with CVA ≤53° underwent …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
-
Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
-
Drug Repurposing of Anticancer Agents JP-8g and REDX05358 Against the Target Protein Plectin 1a in Epidemolysis Bullosa Simplex with Muscular Dystrophy (EBS-MD)
Abstract: Epidermolysis Bullosa Simplex with Muscle Dystrophy is a genetic disease affecting the skin and muscles which can be seen at birth or start at adulthood due to the mutation in the protein Plectin 1a (PLEC gene) causing skin blisters and muscle weakness. This protein is seen in sarcolemma, Z disks in skeletal muscles, hemidesmosomes in skin and cardiac muscles giving stability to cytoskeleton, playing a crucial role in neuromuscular transmission …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 22–34 Read article
-
Exploring the Mechanical Characterization and Microstructural Properties of the Varying Weight % of Nano Boron Carbide (nB4C) Reinforced Al2024 composites using the Vacuum-Assisted Stir Casting Method
Abstract: In this investigation the stir casting technique is utilized to fabricate Al2024-B4C nano composites. The nanoB4C particles used in the reinforcement material have a particle size of 50 nm and variable weight percentages. In Al2024 composites, boron carbide reinforcement is included at weight percentages ranging from 0% to 3%, with a 1% interval between each percentage addition. Following the casting process, the samples were prepared for microstructural and mechanical evaluation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 394–404 Read article
-
Drug Utilisation and Cost Analysis in End-Stage Renal Disease Patients: A Prospective Observational Study
Abstract: Chronic Kidney Disease (CKD) is a condition in which the kidneys are damaged and unable to efficiently remove waste and excess fluid from the blood. Dialysis serves as a treatment for CKD by artificially carrying out the kidney’s filtering functions. This prospective observational cross-sectional study was conducted to evaluate drug utilization patterns, economic burden, and health-related quality of life (HRQoL) among patients with end-stage renal disease (ESRD) undergoing dialysis. Over …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
-
Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article