Results 1 to 10 of about 2,471,365 (186)
The Journal of Primary Health Care, 2022 We propose Sage, a system for uncertain network analysis. Algorithms for uncertain network analysis require large amounts of memory and computing resources as they sample a large number of network instances and run analysis on them. Sage makes uncertain network analysis simple and efficient.
Lee, Eunjae, Noh, Sam H., Seo, Jiwon
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A MODIFIED AODV PROTOCOL TO MITIGATE COMBINED IMPACT OF MULTIPLE ATTACKS IN MANET [PDF]
Proceedings on Engineering Sciences, 2023 Since past two decades MANET researchers have focused on providing security solution to MANET to protect them from various network attacks. Most of the recent security approaches are restricted to address specific attacks only.
Monika Dangore , Hare Ram Sah
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Safety of Brexanolone in Adults with Postpartum Depression: Postmarketing Surveillance Data
Drugs - Real World Outcomes, 2023 Background Brexanolone is currently the only medication approved by the US FDA for the treatment of postpartum depression (PPD) in patients ≥15 years. Brexanolone is available commercially only through a restricted program (ZULRESSO® Risk Evaluation and ...
Svetlana Garafola +2 more
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Genome Medicine, 2021 Background Alzheimer’s disease (AD) is an incurable neurodegenerative disease currently affecting 1.75% of the US population, with projected growth to 3.46% by 2050.
Jake Gockley +11 more
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RICE PLANT DISEASE IDENTIFICATION DECISION SUPPORT MODEL USING MACHINE LEARNING
ICTACT Journal on Soft Computing, 2022 In this paper, we propose a decision support system for Indian rice farmers for identifying diseases. In a country like India, food security is an essential concern. Additionally, diseases in plants can cause a significant loss.
Gaurav Shrivastava, Harish Patidar
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A DEEP LEARNING MODEL FOR IMPROVING THE RICE PLANT DISEASE DETECTION PERFORMANCE
ICTACT Journal on Soft Computing, 2022 Rice is one of the most utilized grains in India. It is a seasonal crop which mostly grows between June to October. This crop mostly grows in natural conditions and its production has a significant influence on different diseases in the plant.
Gaurav Shrivastava, Kuntal Barua
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SOCIAL MEDIA SPAM DETECTION USING DIFFERENT TEXT FEATURE SELECTION TECHNIQUE AND MACHINE LEARNING
ICTACT Journal on Soft Computing, 2022 The messaging systems and social media is popular and has essential contributions to our social and professional life. Similarly, Spam is a part of the messaging system and social media. In social media, spam is found in various places (i.e. in posts, in
Anubha Sharma, Manoj Ramaiya
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BI-MODEL EMOTION RECOGNITION SYSTEM FOR DIFFERENT AGE GROUPS STUDENTS ON ZOOM PLATFORM USING FUZZY AND DEEP LEARNING [PDF]
Proceedings on Engineering Sciences, 2023 Modality is the word that refers to different modes of recognition. In early researches it has been seen that single modality more over taken into considerations for emotion recognition which always not give better results due to insufficient information.
Ati Jain, Hare Ram Sah , Harsha Atre
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npj Digital Medicine, 2020 Digital technologies such as smartphones are transforming the way scientists conduct biomedical research. Several remotely conducted studies have recruited thousands of participants over a span of a few months allowing researchers to collect real-world ...
Abhishek Pratap +13 more
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Customizing a Program for Older Adults Living with Frailty in Primary Care
Journal of Primary Care & Community Health, 2021 Coordination of primary care is essential to improving care delivery within health systems, especially for older adults with increased health/social needs.
Jananee Rasiah +8 more
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