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1981 articles for “SE method” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Prediction of Punching Shear Capacity of Biaxial Voided Slab
Abstract: Biaxial voided slab systems are advantageous due to their reduced self-weight, up to 50 % in comparison with the conventional reinforced concrete solid slab. The reduction in the concrete cross sectional area reduces the shear capacity up to about 40 %. The prediction of punching shear capacity in voided slab is not direct unlike in solid slab. This is because the presence of voids alters the critical failure section and …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 24–33 Read article
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Summer Outbreak of Influenza A (H1N1) at Tertiary Care Centre in Central India
Abstract: Background: Influenza is a highly contagious, acute, and febrile respiratory illness that occurs in epidemics and occasionally in pandemics. Post-pandemic resurgence with bi-modal peaks, a major peak in the rainy season, and a minor peak in the winter-spring season have been reported in India. However, a sudden increase in the number of cases of Influenza-like illness (ILI) was observed at our centre during the summer season. The study was conducted …
Published in Research and Reviews : A Journal of Immunology · Vol. 8, Issue 3, 2018 · pp. 24–31 Read article
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Reverse Engineering’s Neural Network Approach to the Human Brain
Abstract: The organic components of the brain are capable of performing consistently and successfully in noisy situations. Brain components with highly adaptive or flexible interactions that could be low-precision, unpredictable, or excessively simultaneous are used to construct biological circuits. Two of the most remarkable characteristics of brain networks are their propensity to self-organize and their pattern organization. Recent research on neural networks, including artificial neural networks and convolutional neural networks (CNN), …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 17–24 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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The Critical Role of Cyber Threat Intelligence in Countering Terrorism: Challenges, Successes and Policy Recommendations
Abstract: Cyber threats from terrorist organizations pose severe risks to national security, economic stability and public safety. Cyber threat intelligence (CTI) has emerged as a crucial capability for pre-empting and disrupting cyberterrorism attempts through systematic monitoring of threat actors, along with analytical frameworks to contextualize tradecraft. This paper provides an extensive overview of CTI, analyzing the state of the art of intelligence gathering frameworks against threat groups by assessing technologies like …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 22–29 Read article
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Cloud Driven Smart Car Parking System
Abstract: Effective infrastructure management has been forced to evolve as a result of urbanisation, particularly in the transportation sector. Among the various challenges faced by urban mobility, effective parking management is a crucial concern. The "Cloud Driven Smart Car Parking System" a state-of-the-art innovation that combines cloud-integrated technologies to revolutionise urban parking, is introduced in this research. The essay discusses the serious drawbacks of traditional parking management systems and highlights the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 1, 2024 · pp. 30–37 Read article
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Characterization Of Senna Occidentalis (Link.) Seed Extract
Abstract: Senna occidentalis (L.) Link commonly known as "coffee senna" or majamfari/rai dore in Hausa is a plant with a long history of traditional and medicinal uses against diseases such as inflammation, pains, and diabetes. This study presents characterization of the bioactive compounds of the seed extracts. Physicochemical analysis of seed powder was carried out following standard procedures. Qualitative phyto-chemical contents were determined for the presence and absence of major metabolites. …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 13–22 Read article
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Assessment of Knowledge, Attitudes and Practice of Family Planning among Women of Reproductive Age in Northern Nigeria: A Sociological Study
Abstract: Family planning is a very vital element of reproductive health that enables individuals and couples to decide on how many and how far they would have their children. It is important in enhancing maternal health, child health, alleviating poverty and enhancing sustainable development. Although family planning services are available in Nigeria, their use has been low in most regions in the country especially Northern Nigeria. The paper evaluated the KAP …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 45–64 Read article
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Artificial Intelligence for Tracking Cognitive Deviation in Aging Populations: A Comprehensive Review of Techniques, Challenges, and Ethical Concerns
Abstract: Population aging is accelerating worldwide, and with it the burden of cognitive health conditions such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia. Detecting and monitoring cognitive change early is central to timely intervention, yet conventional diagnostic tools often miss the subtle signals that appear before overt symptoms. Artificial intelligence (AI) has emerged as a promising complement to clinical assessment because it can work through high-dimensional data and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 27–37 Read article
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Comparative Analysis of Artificial Intelligence-based MPPT Algorithms for Wind Energy System
Abstract: By extracting maximum possible power from a wind generator system, the efficiency of the system can be increased. Radial basis function (RBF), feed forward back propagation (FFBP) and adaptive neuro-fuzzy inference system (ANFIS) are recognized as the universal estimators. This paper presents a single network based maximum power point tracking (MPPT) of a wind turbine system using these algorithms. The single network based maximum power extraction method is simple and …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 7–18 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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The Effectiveness of Structured Teaching Programme on Role of Iodine in Prevention of Iodine Deficiency Disorders among Women in Selected Urban Areas of Tirupati
Abstract: Background of the Study: Iodine deficiency disorders are emerging as a public health problem, especially in pregnant and breastfeeding women, in whom it can cause brain damage in the developing fetus or infant. Iodine deficiency gives rise to goiter (so called endemic goiter) in adults as well as cretinism in children, which results in developmental delay and other health problems. According to WHO, nearly 2 billion individuals had insufficient iodine …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 1, 2018 · pp. 29–38 Read article
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Use of Intelligent Control Systems to Manage Traffic Effectively and Productively
Abstract: Intelligent control system is the advanced technology in which the collected data is provided to A.I. and with the help ofvarious methods like machine learning, neural networks, Bayesian probability, fuzzy logic the solution to a particularproblem is found.In a country’s growth the traffic management plays a great role as the maximum industries depends on the highways orroads and when it is well planned it can reduce the commute time and …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 22–27 Read article
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Characterization studies on surface activation of phosphor bronze wire mesh via different chemical means for water distillation applications
Abstract: Surface activation of phosphor bronze structured packing modules is an important step in the manufacturing of high efficiency water distillation columns as it ensures excellent mass transfer behaviour and overall process intensification. These packed columns are used in the nuclear industry for heavy water production and purification. Activation is generally achieved through a treatment involving aqueous NaOH solution with bubbling of oxygen gas through it. This leads to the development …
Published in Journal of Nuclear Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 10–23 Read article
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Study of Haemoglobin Status in First and Second Year MBBS Students
Abstract: Anaemia is a major public health problem. Present study was conducted in 200 undergraduate medical students. Haemoglobin values obtained by Sahli’s method was analysed and students were grouped into anaemic and non-anaemic group. Further grading of anaemia was done as per the WHO criterion. Results were analysed by using SPSS software. Results showed that 27.5% of medical students were anaemic. Gender-wise distribution was 18.35% of males and 38.46% of females …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 2, 2015 · pp. 16–18 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Effectiveness of Educational Module on Impact of Internet Addiction Among Adolescents
Abstract: Background of the study: Internet addiction involves excessive or unregulated obsessions, urges, or behaviors related to computer and internet usage, which result in negative consequences such as impairment or emotional distress. This phenomenon has garnered heightened interest among both the general public and researchers, a trend that mirrors the expansion of computer and internet availability. Aim: To assess the efficacy of a structured educational program addressing internet addiction and its …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 32–37 Read article
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Essential Self-Breast Examination for Both Men and Women
Abstract: Breast self-examination stands as a crucial and foundational technique for the early detection of irregularities within the breast tissue, including both the breast itself and the nipple. This method is accessible and relevant to individuals of all genders, involving fundamental principles of observation and palpation. Those well-versed in breast self-examination possess the knowledge to guide others in this practice, which can lead to early intervention and, ultimately, the prevention of …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 19–23 Read article
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IoT-Based Smart Electrical Board Using Google Assistant: An Enhanced Approach
Abstract: The Internet of Things (IoT) has revolutionized home automation by enabling seamless connectivity between smart devices and cloud services. By enabling intelligent and remote control of home systems like lighting, security, and climate control, this integration greatly enhances user control, convenience, and efficiency. The study introduces an improved IoT smart electrical board that can be connected to Google Assistant to enable voice commands for controlling household appliances. By combining modern …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article