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263 articles for “BAS (score)”
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Assessment of Quality of Postnatal Care Services Offered to Mothers in Hospitals of Tigray Ethiopia, 2016
Abstract: Each year, 287,000 women die from complications related to pregnancy and childbirth, and about 99% of these deaths occur in developing countries. The first hours, days and weeks after childbirth are a dangerous time for both the mother and newborn infant. Postnatal care prevents the great majority of maternal and child morbidity and mortality. This study therefore, aims to assess quality of postnatal care services offered to mothers in Tigray …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 1, 2017 · pp. 11–19 Read article
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Effectiveness of Structured Teaching Program on Knowledge of Staff Nurses Regarding Post Coronary Angiography Care
Abstract: Coronary heart disease is the most common cause of death in India. It has quadrupled in the last 40 years and the World Health Organization (WHO) estimates that by 2020 close to 60% of cardiac patients worldwide will be Indian. Coronary angiography is currently regarded as the gold standard technique for evaluation of patients with suspected coronary heart disease and for defining coronary anatomy. Nurses are the key persons who …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 1, 2017 · pp. 7–12 Read article
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A Study to Assess the Effectiveness of Knowledge and Practice Regarding Peritoneal Dialysis Among Patients with End-Stage Renal Disease at Selected Nephrourology Departments
Abstract: End-stage renal disease (ESRD) is a chronic and irreversible disorder in which kidney function declines permanently, making renal replacement therapy essential for survival. Among the available treatment options, peritoneal dialysis (PD) is considered a useful home-based therapy. Nevertheless, the effectiveness of PD largely depends on patients’ understanding of the procedure and their ability to perform it accurately. This study was conducted to evaluate the impact of a structured teaching program …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 6–11 Read article
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Effectiveness of Nursing Interventional Program on Growth and Development of Under Five Children among Mothers in Selected Paediatric Hospitals
Abstract: Children constitute the most important segment of our population. They are truly the foundation of a nation. Every child should be allowed to achieve his optimal growth and developmental potential, so that he can effectively contribute towards the nation’s productivity. The future of our nation depends on the way in which we nurture our children today. We have to provide every child with a happy childhood and basic necessities along …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 2, 2017 · pp. 8–13 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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An Experimental Study to Identify the Learning Needs of Patients with Tracheostomy and Evaluate Effectiveness of a Self Instructional Module (SIM) for Home Management of Patients in a Selected Hospital of Delhi
Abstract: Tracheostomies are becoming increasingly common both within the acute setting and the community. The number of tracheostomies performed has increased steadily due to rising incidence of head and neck cancer. As a result of this there is an expectation of increased knowledge and more advanced skills in caring for these patients both in health care setting and at home after discharge The objectives of the study were to identify and …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 1, 2015 · pp. 1–9 Read article
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Sentiment Analysis Using Emojis
Abstract: Sentiment analysis is a fast-growing research part in NLP (Natural Language Processing). It is fully focused on categorizing customer’s opinion about a particular product, blogs or comments etc. Public opinion has a significant impact on people's desire to contact with businesses, as well as overall brand perception. According to a Podium research, 93% of buyers believe online reviews affect their shopping decisions. Users may not give you another chance after …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 43–46 Read article
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Preoperative Use of Midazolam vs Dexmedetomidine for Anxiolysis in Day-Care Surgery
Abstract: Surgical procedures trigger significant fear and anxiety that can adversely affect physiological responses and recovery outcomes. This prospective, randomized, double-blinded clinical trial compared the anxiolytic efficacy and safety of intravenous midazolam and dexmedetomidine in 60 patients undergoing day-care surgery. Primary outcomes included anxiety scores measured by STAI and sedation assessed by the OAAS scale at multiple perioperative time points. Secondary outcomes assessed in the study included detailed evaluation of hemodynamic …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 7–12 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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To Develop Self-instructional Module on ‘Umbilical Cord Stem Cell Collection, Preservation and Utilization’ and Evaluate its Effectiveness on Improving the Knowledge of Operational Level Nurses
Abstract: Umbilical cord stem cell based regenerative and cellular medicine has now become a fascination for all. The umbilical cord blood, donated by mothers after the birth of newborn, has become an accepted source of hematopoietic stem cells for bone marrow reconstitution. They play an important role in the treatment of blood and immune system related genetic diseases, cancers, and blood disorders. This study is aimed to assess the knowledge of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 3, 2020 · pp. 10–22 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
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Climate Change Including Forest Fire Prediction using Machine Learning and Deep Learning
Abstract: Climate change alludes to long haul shifts in temperatures and atmospheric conditions. These movements might be regular, for example, through varieties in the sun-oriented cycle. In any case, since the 1800s, human exercises have been the fundamental driver of climate change, basically because of consuming fossil fuels like coal, oil and gas. Many individuals think climate change mostly implies hotter temperatures. Be that as it may, the temperature climb is …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 Read article
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Risk Factors of Neonatal Deaths Among Asphyxiated Neonates in Ayder Referral Hospital, Mekelle, Ethiopia: A Case Control Study
Abstract: In the globe about 4 million babies die during neonatal period every year and 99% of these deaths occur in low-income and middle-income countries. Out of these, almost one-fourth of them lose their lives due to birth asphyxia. The main objective of this study was to assess risk factors of neonatal death among asphyxiated neonates in Ayder Referral Hospital, Mekelle City. Institution-based unmatched case-control study was conducted from December 1st …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 3, 2015 · pp. 16–26 Read article
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A Study to Assess the Effectivness of Planned Teaching Program Regarding Use of Personal Protective Equipments to the Staff Nurses Working In Specific Area of Govt. Hospital in Dist. Hisar (Haryana)
Abstract: PPE continues to play an integral role in prevention of transmission of infection in health care setting. The use of PPE is one way to help avoid harming ourselves and harming others. Selecting of PPE must be based on an assessment of risk of transmission of microorganism to the patients and the risk of contaminations of the health workers. Contamination of Clothing and skin by patient blood, body fluids, secretions …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 2, 2022 · pp. 9–13 Read article