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An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ...
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
(
IEEE
, 2022 , Article)
5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ...
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service ...
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
(
MDPI
, 2022 , Article)
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ...
Applications of Artificial Intelligence in Philadelphia-Negative Myeloproliferative Neoplasms.
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Philadelphia-negative (Ph-) myeloproliferative neoplasms (MPNs) are a group of hematopoietic malignancies identified by clonal proliferation of blood cell lineages and encompasses polycythemia vera (PV), essential ...
Blood Proteomics Analysis Reveals Potential Biomarkers and Convergent Dysregulated Pathways in Autism Spectrum Disorder: A Pilot Study
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Autism spectrum disorder (ASD) is an umbrella term that encompasses several disabling neurodevelopmental conditions. These conditions are characterized by impaired manifestation in social and communication skills with ...
A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
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MDPI
, 2023 , Article)
Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument ...
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural ...
Applications of Machine Learning in Chronic Myeloid Leukemia
(
MDPI
, 2023 , Article)
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm characterized by dysregulated growth and the proliferation of myeloid cells in the bone marrow caused by the BCR-ABL1 fusion gene. Clinically, CML demonstrates ...
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
(
John Wiley and Sons Inc
, 2023 , Article)
Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are ...