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1968 articles for “AFS” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Prevalence of Anemia Among Reproductive Age Group (15–45 years) Women in a Homoeopathic Medical College and Hospital in West Bengal, India: An OPD Based Survey Report
Abstract: Anemia is one of the most common causes of malnutrition and it has a great public health significance affecting children, adolescents and women especially of reproductive age worldwide. Efforts have been made from time to time to tackle this condition through public health initiative but with limited success. Thus, there is a need to investigate the prevalence of anemia particularly among females in their reproductive age (15–45 years) and to …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 2, Issue 3, 2015 · pp. 6–12 Read article
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Intercomparison of Rainfall Estimates of Probability Distributions for Developing the Intensity-Duration-Frequency Curves
Abstract: Determination of short duration rainfall through the developed Intensity-Duration-Frequency (IDF) curve is of utmost importance for planning, design, operation and management of civil and hydraulic structures. For which, extreme value analysis (EVA) of rainfall that consists of fitting probability distributions such as Normal, Log Normal (LN2), Pearson Type-3, Log Pearson Type-3, Extreme Value Type-1 (EV1) and Generalized Extreme Value (GEV) to the annual 1-day maximum rainfall series is carried out. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 3, 2022 · pp. 39–53 Read article
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Impact of Social Media and Online Influencers on Parents’ Pediatric Dental Decisions: A Cross-Sectional Study
Abstract: Background: Social media has become a key source of health information for parents, but its role in shaping pediatric dental treatment decisions is poorly understood. Aim: To evaluate the influence of social media and online influencers on parents’ decisions regarding pediatric dental treatments. Methods: A cross-sectional survey was conducted among 240 parents of children aged 3–14 years in Kanpur, India. A total of 228 complete questionnaires were included for final …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 · pp. 1–6 Read article
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JATAYU: A Stereo Vision–Based UAV for Autonomous Navigation and Human Following in GPS-Denied Environments
Abstract: Traditional unmanned aerial vehicle (UAV) systems primarily rely on Global Positioning System (GPS)-based navigation and conventional computer vision techniques. However, these approaches face significant challenges in GPS-denied environments, such as dense urban areas, indoor spaces, and disaster-affected regions where GPS signals may be weak, unavailable, or unreliable. In addition, limitations in real-time processing, object detection accuracy, and environmental perception can reduce UAV effectiveness in dynamic and unpredictable situations. This paper …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 30–38 Read article
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Numerical Investigation of Slip Conditions in Nanofluid Flow Induced by a Nonlinearly Stretching Sheet: A bvp4c Approach
Abstract: The present work describes a numerical analysis of the steady, laminar flow over a nonlinear stretching sheet in a nanofluid medium. Slip conditions in terms of velocity, temperature, and concentration have been introduced into the mathematical model to capture the impact of interfacial mass transfer on the stretching surface. The problem is modeled to include nanoparticle transportation in terms of Brownian diffusion and thermophoresis, thereby affecting the temperature and concentration …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 34–51 Read article
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Impact of Artificial Intelligence on Education
Abstract: Although the exact influence of AI on the future is still uncertain, one truth stands clear: AI is among the most crucial technologies of our time, actively shaping various sides of our daily existence, from online relationships to consumer spending patterns. But how will this innovation affect employment down the line? What outcomes can we expect? A lasting demographic of individuals unable to secure jobs due to automation? Economies where …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 53–59 Read article
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An Unsupervised Common Sense-based Learning Framework for Emotion Detection and Classification in Textual Social Data
Abstract: AbstractEmotions are inherent to human behavior and generally expressed in response to the stimuli from the external environment or some internal processes. With the widespread use of online social platforms, people often express themselves using tweets, blogs and posts which generally include affective text. The topic of emotion detection and recognition has been widely studied in computational science and in fact a separate area “Affective Computing” is dedicated to its …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 44–51 Read article
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Hybrid approach for emotion detection in text using spatial-temporal features
Abstract: In recent years, the incredible exploratory growth of online data in social media mainly Twitter has to lead to growing attention of researchers towards Affective analysis of social media streams. Around 500 million tweets are generated per day all around the globe. Classification of these tweets into different affective classes is an arduous task. We propose a novel approach of classifying a tweet into Ekman’s six basic emotion classes using …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 34–44 Read article
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A Greedy Stochastic Diffusion Search Based Fuzzy Scheduling in Cloud
Abstract: Users in cloud environment pay per use for the resources utilized. Security issues direly affect the cloud services due to which the performance of the cloud systems also gets affected. Hence, for robust security in data and systems in cloud, the onus is largely on service providers. The most important component of cloud computing is job scheduling. For distributing precedence to subtasks that achieve varied makespan in heterogeneous computing system …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 58–68 Read article
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Performance Evaluation of WSN under DDOS Attack
Abstract: AbstractA Wireless Sensor network (WSN) is device which uses various sensors to monitor conditions physically and environmental both. Wireless Sensor network provides a bridge between the various nodes and the server. WSN is open in nature which makes it vulnerable for the intruders to attack. Many security threats affect the performance of network threats like DDOS, Wormhole, Selective Jamming attack etc. In this paper a new scheme smartpix has been …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 40–44 Read article
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Sentiment Analysis and Stock Market Prediction-Using news to predict stock markets
Abstract: AbstractThe aim of this paper is to propose a relatively new approach regarding the influence of financial news on stock market prices. Previously, a lot of effort and research has been done to study the effect of historical stock market prices. This approach mainly involved time series numerical data to predict the future trend of stock markets. But, with the advent of superior computing power and computing techniques such as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 17–24 Read article
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Evolution of Technology in The Era of COVID-19
Abstract: The outbreak of COVID-19 (Corona virus Disease) brought the life to a standstill. Due to this pandemic, we got to know that nothing is permanent in the life. As the whole world got affected due to this pandemic, it was technology which made our life easier. Technology refers to the application of scientific knowledge in our practical life to make our tasks easier. As we are living in the era …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 1–6 Read article
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Detecting Spambot as Associate Degree Antispam Technique for Net Bulletin Board System
Abstract: Spam is one in every of the foremost widespread and conjointly the most relevant topic that must be understood within the current state of affairs. Everybody whether or not it's going to be a little kid or associate degree senior citizen square measure exploitation emails everyday all round the world. The state of affairs that we have a tendency to square measure seeing is that just about no one is …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 25–29 Read article
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Disassembly For Code Clone Detection System
Abstract: It is important to detect the clones in any software as there are various reasons for it. Code clones can affect the quality and maintainability of software. If there exists any bug in the code fragment then every similar cloned fragment will have to be detected to find the bug. Code cloning can also affect other things like design of the system and the size of the software system. Maintenance …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 2, 2015 · pp. 26–31 Read article
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A Review Paper on Healthcare Android Application Using Eclipse
Abstract: AbstractIn this paper, we propose a coordinated framework, produced for use by the social insurance work force inside healing facilities, adjusted to smartphones, tablets and handheld gadgets. Most the healing facilities in India do customary manual printed material to keep up the records which winds up noticeably oppressive. In spite of the fact that it works effectively more often than not yet bargains time and space. The proposed framework which …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 11–14 Read article
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Drug Addict Reclamation Android App
Abstract: The Android app comes as a proposed solution to drug addict people who cannot afford psychological treatment and who are afraid to describe themselves as drug addicts in society. The system is designed to act as aconsultation or referral. The system consists of four modules: home module, user module, counseling module, and admin module. We seek in our project to provide online environments for those who know about drugs that …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 1, 2021 · pp. 22–27 Read article
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Diabetic Level Prediction in Humans: Using Supervised Machine Learning Methods
Abstract: Diabetes could be an unremitting malady or a metabolic sick wellbeing cluster where an individual endures from a pervasive sum of insulin-producing blood glucose within the body or since the cells of the body do not react to affront. Steady diabetes hyperglycemia is the damage to long term organs, particularly lungs, kidneys, nerves, the heart and the veins are connected to weakness and misfortune. The objective of this investigation is …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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A Review on Heart Disease Monitoring System by Using Machine Learning
Abstract: Heart disease is one of the most popular diseases which can lead to reduce the lifespan of human beings now a day. Every year 17.5 million people are get dying due to heart disease. Researchers have been using various types of data mining techniques and machine learning algorithms to help in the diagnosis of heart disease and various other type of diseases. Health care Centre collects large amount of data. …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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COVID-19 Detection through Deep Learning Models using Chest X-ray
Abstract: Detection of COVID-19 in a minimum amount of time is one of the biggest challenges in front of us because COVID-19 is a rapidly spreading disease. Patients are increasing in a rapid amount of time. Hence, we proposed an AI-technique based deep-convolutional neural network to detect COVID-19 patients using real-world data. In our proposed system, chest X-ray images are used to find out COVID- 19 patients. X-rays are available very …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 11–16 Read article
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Implementation of Data Mining Approach to Find the Adaptability of Students in Online Education During COVID-19 Pandemic
Abstract: The global COVID-19 pandemic has severely affected every aspect of human life, including education. The virus' stunning spread created havoc in the educational system, causing educational institutions to close. As an effect, students must quickly adopt to the change to synchronous online learning. This study identified the different aspects affecting the adaptability level of students in online class. It also identifies the student’s adaptability level in different circumstances in online …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 1–8 Read article