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1865 articles for “AFS” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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
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Smart Agriculture System Using IOT and Image Processing
Abstract: This study presents a new method for identifying and classifying leaf diseases and soil moisture levels. The particular type of leaf disease that affects a plant’s leaf is difficult to distinguish with human eyes. As a result, in order to accurately diagnose leaf diseases, the application of the proposed study attempts to use plant leaf image processing to diagnose illness. India is the global leader in agriculture, and a wide …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 14–23 Read article
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Impact of Social Media on Human being During COVID-19
Abstract: All of us have been experiencing a new normal for almost 2 years now. COVID-19, an irresistible sickness that arose in late December 2019 in Wuhan, China has impacted our lives in every way possible including our professional life as well as our personal life. The reason for the illness was before long affirmed as a novel Covid, and the contamination has since spread to numerous nations worldwide and has …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 31–42 Read article
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Multi Cloud Infrastructure Automation using Terraform (IaC)
Abstract: Cloud computing solutions can solve the major problems that the startups face and hence help them sustain and grow. At the beginning, mostly startups face problems like: lack of budget (one of the key factors in making the startup the success), location of team (employees maybe living in different cities or states), team instability (variation in team size). The global pandemic of COVID-19 has also affected startups deeply. According to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 2, 2021 · pp. 1–5 Read article
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Identification of Potato Plant Leaf Disease Using Different Artificial Intelligence (AI) Techniques: A Review
Abstract: One of the nation's most vital industries is agriculture. Employment possibilities are abundant in emerging nations like India. The livelihoods of nearly 70% of the global population depend on agriculture. In this study, we have evaluatednumerous articles that have been released on potato plant leaf disease (PLD)diagnosis and classification utilising machine learning (ML)or Deep Learning (DL)methods. There are several causes of leaf diseases in plants, including bacteria, viruses, fungus, and …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 7–19 Read article
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A Review Paper on Healthcare Management System during and Post COVID-19
Abstract: The year 2020 has coped with the corona crisis, the pandemic presented a challenge for healthcare management policies, that could not handle the current emergencies. May it be the no.2 Italy, which comes at second position among the top healthcare systems of the world. In this research work we talk about the various consequences of COVID-19, the various methods of healthcare management and the current situation and various models used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 9–12 Read article
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A Novel Technique to Detect Plant Disease
Abstract: One of the important sectors of Indian Economy is Agriculture. Employment to almost 50% of the countries workforce is provided by Indian agriculture sector. India is known to be the world’s largest producer of pulses, rice, wheat, spices and spice products. Therefore, in field of agriculture, detection of disease in plants plays an instrumental role. Plants are highly prone to diseases that affect the growth of the plant, which in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 10–16 Read article
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A Review on Modification and Experimental Analysis of Fluidized Bed Gasifier for Quality Enhancement of Producer Gas
Abstract: In this global world, energy crisis is increasing day by day, but fulfilling of that energy by conventional energy generation produces pollution problem and it is also costly. There are million tons of waste biomass like rice husk, sawdust, bagasse, straw, and groundnut shell powder available in powdered forms, which are converted in to producer gas used to generate energy by fluidized bed gasifier. There are various input parameters like …
Published in Journal of Thermal Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 9–17 Read article
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Detection and Diagnosis of Colorectal Cancer Using Image Processing
Abstract: Colorectal Cancer gets developed either in colon or in the rectum inside the large intestine, due to the abnormal growth of the cells. For detection and screening of colon cancer, Computed Tomography (CT) Colonography is a valid technique in which digital images of rectum polyps have been investigated. An improved gradient vector flow (IGVF) and various segmentation techniques of colorectal cancer detection are discussed in this paper. The segmented candidates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 1, 2017 · pp. 11–14 Read article
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Air Conditioning Systems: A Challenge to Climate Change
Abstract: Abstract Demand for air conditioning is growing speedily especially in developing countries (South-East Asia) due to income growth, population growth and the need for better comfort level to protect from heat exposures. Only few models estimated future air conditioning use in major areas with increased heat level. However, worldwide and local studies concerning climate variables with air conditioning alone are lacking when facing additional heat due to climate change. More …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 3, Issue 2, 2016 · pp. 1–7 Read article
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Millimeter Wave Modulation for 5G Communication
Abstract: The universal bandwidth shortage for providing high data rate in gigabit per second has motivated the study of Underutilized millimeter wave band. It provides frequency spectrum for future fifth generation mobile communication networks. Propagation of millimeter wave in environment is affected by atmospheric conditions like rain, fog, cloud etc. and it is mostly affected due to presence of rain and rate of rainfall. Our objective is to develop modulation technique …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 2, 2015 · pp. 31–36 Read article