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58 articles for “Leading One Detection”
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Comparative Study of Classifiers for Monitoring Fake Reviews of Online Products Using Opinion Mining
Abstract: With the increasing popularity of e-commerce, online dealers seek reviews or opinions from customers regarding the quality and service of their sold products. As the number of customer reviews grows rapidly, potential buyers face difficulties in reading and assessing them to make informed decisions. Unfortunately, some review websites include fake positive reviews, either added by the product companies themselves or submitted by users who have not made a purchase. This …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 52–59 Read article
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Knowledge and Skill of Staff Nurses Regarding Breast Cancer and Breast Self-Examination
Abstract: Breast cancer comprises about 25% of all female cancers. Its incidence is rising constantly, also among younger women. Every 15 min, three breast cancer cases are diagnosed and one woman dies of this disease. Breast cancer is the leading cause of death among women in the age group of 40–44 years and the incidence increases significantly after 50. This experimental pre-test post-test control group design aims to evaluate the effectiveness …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 2, 2016 · pp. 1–5 Read article
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Personalised Cancer Vaccination Strategies: Bridging Genomics, Bioinformatics, and Immunotherapy
Abstract: Immunotherapy has revolutionized cancer treatment by harnessing the body’s immune system to detect and destroy cancer cells. Personalised cancer vaccines are one of the most promising options because they could allow treatment to be based on the specific tumour profile of each person. The goal of these vaccines is to make the immune system recognise and fight cancer-specific antigens, which will lead to strong and long-lasting anti-tumor responses. However, moving …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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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
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
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Assessment of Physico-Chemical and Microbial Analyses of Hand Dug Wells in Makeni Town, Sierra Leone
Abstract: The various water samples were analysed for residual chlorine, ammonia, fluoride, nitrate, sulphite, lead, arsenic, chromium, and bicarbonate levels from January to August 2024. The bacteria contamination was investigated to determine the safety of the water for the consumption of human. The temperatures across the four wells ranged 27.3oC to 30.0oC, with and average values ranging from 27.94oC to 29.15oC. pH values were within the WHO recommended guidelines range of …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 01–13 Read article
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A Study to Assess the Effectiveness of Educational Intervention on Knowledge Regarding Palliative Care Among Nursing Students in Selected Nursing College of Kashmir
Abstract: Palliative care is a relatively new specialization, having been reintroduced in 1967. Palliative care, according to the World Health Organization (WHO), is a method that improves patients' and their families' quality of life by concentrating on symptom avoidance and relief. Suffering is alleviated via early detection, precise evaluation, and treatment of physical, psychological, and spiritual pain and associated disorders. While cancer patients continue to be the most common recipients of …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 31–38 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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Knowledge, Awareness, and Perceptions of Cervical Cancer and Screening Among Women in Rural South India
Abstract: Background: Cervical cancer is still a major public health problem in South India, with rising figures of morbidity and mortality, in spite of progress in prevention, early detection, and treatment. Cervical cancer is the second leading cause of death due to cancer among Indian women, with around 123000 new cases and 67000 deaths every year. The delay in diagnosing CVD and low participation in screening programs is due to poor …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Embedded System for Rain Sensing Car Wiper
Abstract: The automatic rain wiper system aims to detect rainfall and activate windshield wipers automatically, eliminating the need for manual intervention by the driver. For over a century, the driver has been the one operating the windshield wiper. The wiper should be turned on when the driver feels that driving the vehicle is difficult and that better vision is necessary. On the other hand, since the driver must concentrate solely on …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 Read article
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Advanced Eye State Analysis for Bus Driver Fatigue Detection
Abstract: By using this method, we want to increase road safety by reducing the number of accidents caused by drowsy driving. The automatic identification of driving weariness is handled by this technology, which is based on optical data and artificial intelligence. We locate, track, and look at the driver's face and eyes to measure PERCLOS (% of eye closure) with Soft Max for the neural transfer function. Driver fatigue is one …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 33–37 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Effect of Switching Faults in DFIG Based WECS
Abstract: Wind energy is one of the renewable energy source used for the power generation. Nowadays doubly fed induction generators (DFIG) are commonly used, because of variable speed operation, power control and smaller converter capacity. DFIG based Wind energy conversion system (WECS) consists of Rotor side converter (RSC) and Grid side converter (GSC). These converters are made up of power electronics switches, so the chance of fault is more and this …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 2, 2019 · pp. 39–46 Read article
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Drug Utilization Study of Anti Rheumatoid Drugs in Patients with Rheumatoid Arthritis at a Tertiary Care Hospital
Abstract: Background: Rheumatoid arthritis (RA) is a chronic disease that is classified as an autoimmune illness. It is characterized by joint inflammation, which can subsequently cause joint destruction. This leads to disability and a decline in quality of life. An analysis of drug usage is an important way of assessing prescribing habits and evaluating the rationality of drug use in an effort to achieve optimal therapeutic results among RA patients. Objectives: …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 14–20 Read article
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Stress Detection System Using Internet of Things
Abstract: A change in electrical potential is caused by the confluence of hundreds of brain neurons, which is reflected by a brainwave. When a neuron has accumulated enough energy, it receives messages from nearby neurons and begins a cyclic discharge process. People also emit brainwaves on a regular basis for this reason. According to researchers at Michigan University's Laboratory of Brain Recognition and Behavior, long-term multitasking reduces productivity, and filtering out …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 2, 2021 · pp. 16–21 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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Artificial Intelligence-based Chatbot for Disease Prediction
Abstract: Nowadays leading a healthy lifestyle is very important. Sometimes it is even difficult to find proper medical consultation in unsocialized and remote areas. One such solution to these issues is the development of an Artificial Intelligence based Chatbot for Disease Prediction. A Chatbot is a software program that simulates human conversations, through AI’s Natural Language Processing (NLP) capability. A text-to-text chatbot for disease prediction can involve patients into an interactive …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 29–36 Read article
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Mitigation of Location-based Attacks for Increased User Privacy
Abstract: Designing an effective method to mitigate location-based attacks is a pressing imperative in the realm of cybersecurity. As our world becomes increasingly interconnected through the Internet of Things and location-aware services, the risks associated with the misuse of location data continue to escalate. Location-based attacks encompass a spectrum of threats, from geolocation spoofing and eavesdropping to geo-tagging abuse, potentially leading to severe privacy invasions and security breaches. This abstract provides …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article
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Multi-Layered AI-Driven Security in Wireless Ecosystems
Abstract: The proliferation of next-generation wireless technologies, from 5G/6G networks to the pervasive Internet of Things (IoT), has birthed a hyperconnected digital ecosystem of unprecedented scale and dynamism. This interconnectedness, however, introduces a vast and volatile attack surface, rendering conventional, signature-based security paradigms fundamentally obsolete. This paper posits that the only viable defense is an offensive, self-adaptive one, predicated on the integration of artificial intelligence (AI) directly into the wireless security …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 21–28 Read article
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Forest Fire Detection System
Abstract: The IOT industry is rapidly growing in the current scenario. Each one of us now understands the significance of Internet of Things. At present, it is being used in almost all industries making our lives a bit easier. Forest fires have become a massive threat across the globe, causing numerous negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are among the consequences of such …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article