Journal of Artificial Intelligence Research & Advances
Volume 9, Issue 1 (2022)
Published
Table of contents
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Analysis of Various Machine Learning Techniques for Smart City
Abstract: A botnet represents a network of multiple bots developed to launch spiteful incidents on a target network that is managed through a command-and-control protocol by a solo object known as botmaster. Bots are compromised computers that are controlled from far by the botmaster with no indications of being hacked and used to carry out spiteful actions. The size of botnets differs from small botnets containing a few hundred bots to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 1–16 Read article
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Artificial Intelligence: Revolutionizing Indian Healthcare
Abstract: Artificial Intelligence (AI) has achieved a tipping point. The blend of the innovation, information and ability that makes astute frameworks conceivable has achieved minimum amount, driving uncommon development in AI venture. Over the world, G20 nations have been developing their AI capacities. Individuals and insightful improvements cooperating inside and outside organizational boundaries to produce improved results for clients and society are at the heart of AI’s power. AI has also …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 17–24 Read article
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Machine Learning Techniques for Diabetes Prognosis
Abstract: Diabetes is a long-term illness that has the potential to devastate the global health-care system. Diabetes will affect 522 million people worldwide by 2033. Diabetes develops in eagerness, hunger, and the process of excreting due to high blood sugar levels.. Among other problems, diabetes is a primary cause of blindness, renal failure, amputations, heart failure, and stroke. Our bodies convert food into sugars, or glucose, when we consume it. At …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 25–32 Read article
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Breast Cancer Detection Using Deep Learning
Abstract: Breast cancer, according to the Breast Cancer Institute, is one of the most difficult kinds of cancer that is extremely threatfulfor women all over the world. Early cancer discovery, followed by appropriate treatment, can help minimize the risk of deaths in the first stage of respective cancer only and increase the likelihood of survival by up to 8%. Medical imaging research has become increasingly reliant on machine learning and deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 33–42 Read article
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Diabetes Mellitus Prediction and Classification with a Randomizable filtered Classifier Ensemble Algorithm of the K-Nearest Neighbor
Abstract: Diabetes is a chronic and life-threatening condition caused by high levels of sugar glucose in the blood, which primarily affects the elderly in all societies. This has become a huge global health issue. Patients, diseases, causes, and medical services are all collected in vast amounts by medical care systems and hospitals. Diabetes has been the subject of numerous studies aimed at detecting and preventing the disease. This study presents an …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 43–58 Read article