Publications by authors named "Chitra Dhawale"
This dataset provides detailed electricity demand forecasting metrics for the Sharjah Electricity and Water Authority (SEWA) over 2020 and 2021. Data encompasses both hourly and daily demand patterns, enriched with specific environmental parameters such as temperature, humidity, and solar irradiance. Additionally, SEWA's unique load metrics and lagged demand values, representing previous hour demand, are included.
View Article and Find Full Text PDFUsing data analytics to properly extracting insights that are in-line to the enterprises strategic goals is crucial for the business sustainability. Developing the most fitting context as a knowledge graph that answer related businesses questions and queries at scale. Data analytics is an integral main part of smart manufacturing for monitoring the production processes and identifying the potentials for automated operations for improved manufacturing performance.
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- Diabetic Sensorimotor polyneuropathy (DSPN) is a serious complication for diabetic patients, and the Michigan neuropathy screening instrument (MNSI) lacks a direct way to grade its severity.
- Researchers used 19 years of data from clinical trials to develop a machine learning model that identifies key MNSI features for diagnosing and grading DSPN severity.
- The resulting prediction model accurately categorizes DSPN into four severity levels, enabling healthcare professionals to identify high-risk patients and enhance decision-making in clinical settings.