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235 articles for “classification”
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Comparative Analysis of Equity Considerations in Heritage Preservation Policies Across Different Cultural Contexts: A Case Study with Indian Context
Abstract: This paper offers a comprehensive and multi-layered analysis of how equity principles are robustly integrated into heritage preservation policies across diverse international and national cultural contexts, with a focused and detailed emphasis on India. The core objective is to move significantly beyond conventional, site-focused conservation paradigms to meticulously assess the extent to which existing heritage frameworks actively address fundamental issues of social justice, inclusive governance, and the equitable distribution of …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 1–6 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article
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Composite Engineering Materials: From StructuralFundamentals to Sustainable Applications
Abstract: Composite materials have become a key part of modern engineering and materials sciencebecause they are very strong for their weight, can be designed in many ways, and can bemade to fit specific needs. This page gives a full review of composite materials, focussing onhow they are classified, what they are made of (the matrix and the reinforcement), how theyare made, and how they behave mechanically. The conversation also covers the …
Published in International Journal of Composite and Constituent Materials · Vol. 11, Issue 2, 2025 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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Revolutionizing Design and Manufacturing: The Role ofComputer Languages in CAD and CAM
Abstract: The evolution of computer languages has played a crucial role in the advancement of modern computational technologies, with significant contributions to fields, such as Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM). Computer languages provide the essential tools to communicate between human users and machine systems, enabling the automation of design and manufacturing processes. This review explores the development and classification of computer languages, highlighting their impact on CAD and CAM …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 30–34 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Improvement in Output Power by Designing Adaptive Reference Control for Boost Converter in Solar System
Abstract: solution using an FPGA as the master device. The study demonstrates the significance of FSM implementation in HDL coding, as well as how the architecture for protocol implementation in customizable devices has evolved. Solar power systems are generally classified into two main types: off-grid and on-grid systems. Off-grid solar setups operate independently, using photovoltaic (PV) panels and battery storage to produce and store electricity without any connection to the main …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 1, 2025 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Descriptive study to assess the knowledge regarding management of dysmenorrhea and to provide an informational booklet among students at government girls higher primary school Varuna, Mysuru, Karnataka
Abstract: Introduction: Dysmenorrhea is a widespread gynecological condition marked by painful menstrual cramps caused by uterine contractions. It is classified into primary and secondary types, with primary dysmenorrhea being more common among adolescents, while secondary dysmenorrhea is typically linked to underlying pelvic disorders. The prevalence of dysmenorrhea is high globally, affecting a significant proportion of menstruating individuals, with symptoms varying in intensity from mild discomfort to severe pain that can hinder …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 11, Issue 1, 2025 · pp. 11–19 Read article
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Shoulder Dystocia: A Comprehensive Overview of Causes, Management, and Outcomes
Abstract: Shoulder dystocia is a serious and potentially life-threatening complication that can occur during childbirth, characterized by the baby's shoulder becoming stuck in the mother's pelvic area after the head has been delivered. This obstructed delivery can lead to severe difficulties in the birth process, requiring immediate and skilled intervention to prevent harm to both the mother and baby. Shoulder dystocia occurs when one or both of the baby's shoulders are …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 11, Issue 1, 2025 · pp. 35–40 Read article
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An Investigation into the Impact of Progressive Muscle Relaxation on Anxiety Levels Among Nursing Students at a Selected Nursing College in Haryana, India
Abstract: Background: Nursing students often encounter significant anxiety throughout their educational journey. Key factors include heavy academic workloads, unclear assignments, and demanding shift schedules, personal and professional anxiety. Beyond these academic pressures, relationships with faculty, clinical experiences, and time constraints can also contribute to their anxiety levels. This anxiety can adversely impact student's performance if not managed effectively. Progressive Muscle Relaxation (PMR) is a well-regarded technique for alleviating anxiety, as it …
Published in International Journal of Neurological Nursing · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Robotics in Nursing : Purposes ,Benefits , Challenges & Future
Abstract: Globally healthcare structures are challenged with the lack of health care professionals, in particular nurses. The decline in the nursing staff is more often than not attributed to an ageing population, multiplied demand for fitness care services, and shortage of qualified nurses demanding running situations have also multiplied the physical and emotional needs and notion of burnout, main to attrition amongst nurses. Technological advancements have caused the use of robots …
Published in International journal of Nursing Science Practice and Research · Vol. 11, Issue 1, 2025 · pp. 1–4 Read article
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Enhancing Awareness of Cytotoxic Drug Handling: Evaluation of a Structured Teaching Program for Nursing Staff in Jalandhar Hospitals
Abstract: Cytotoxic medications are used to treat cancer all around the world. These medications are often made specifically for each patient and are given as bolus injections or infusions. The cytotoxic drugs are classified as hazardous drugs by Occupational Safety and Health Association (OSHA). Nurses dealing with cytotoxic drugs have potential risk of occupational health hazards as these drugs are potentially carcinogenic, mutagenic, or teratogenic by nature. Staff nurses’ occupational health …
Published in International Journal of Energetic Materials · Vol. 11, Issue 1, 2025 · pp. 1–10 Read article
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Chemical and Geotechnical Evaluation of Steel Slag for Sustainable Construction Practices
Abstract: Steel slag, a byproduct of the steelmaking process, is generated at an estimated 160 kg per ton ofsteel production. This study explores the chemical and mineral compositions of steel slag,highlighting key compounds such as SiO2, CaO, Fe2O3, Al2O3, and MnO, along with mineralcomponents like C3S, C2S, C4AF, and free-CaO. The research emphasizes the extensive applications ofsteel slag in cement-based products, ceramics, road paving, and concrete admixtures. Specifically, itevaluates the incorporation …
Published in International Journal of Analytical and Applied Chemistry · Vol. 10, Issue 2, 2024 · pp. 28–37 Read article
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Evaluation of Deep Learning Optimizers for Gujarati Handwritten Numerals
Abstract: Handwritten digit recognition is a fundamental task in the field of pattern recognition and computer vision with numerous applications. The development of deep learning algorithms has greatly increased the efficiency and accuracy of recognition of handwritten digits systems. However, the choice of optimizer plays a crucial role in determining the convergence rate and final performance of deep learning models. In this study, we provide a thorough analysis of many deep …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 34–41 Read article
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An Evaluation of the Impact of Horticultural Therapy on Depression in Elderly Individuals Living in Assisted Living Facilities
Abstract: Objectives: To evaluate the degree of depression. The study aimed to evaluate the effects of horticultural therapy on depression and to explore the relationship between depression levels and selected demographic variables. Methods: A quantitative evaluative survey approach was employed, utilizing a quasi-experimental one-group pre-test–post-test design. The study focused on elderly individuals living in old age homes. A simple random sampling method was used to recruit a total of 60 participants. …
Published in International Journal of Geriatric Nursing · Vol. 7, Issue 2, 2024 · pp. 26–41 Read article
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Assessment of Clinical and Investigative Profiles and Treatment Approaches in Newborns with Birth Asphyxia Admitted to Pravara Rural Hospital, Loni. [BK]
Abstract: Introduction: The inability to intake sufficient oxygen into the lungs increases the likelihood of hypoxia. Hypoxia is a condition in which there is an inadequate supply of oxygen reaching the body’s cells and tissues. Hypoxia can result in various serious and potentially life-threatening complications. But if you know what to look for, you can manage the condition before it leads to dangerous complications. You may have heard of both hypoxia …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 2, 2024 · pp. 24–30 Read article