Sandeep Kumar Singh
Biographic Data
| ID | 6722255 |
|---|---|
| NAME | Sandeep Kumar Singh |
| GIVEN NAMES | Sandeep Kumar |
| FAMILY NAME | Singh |
| SIGNATURE | SINGH S K |
| AFFILIATIONS | Georgia Institute of Technology |
| ORCID | 0000-0003-0213-2093 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Integrating Data Analytics and Cognitive Computing for Real-Time Anomaly Detection in 6G IoT Environments
The emergence of 6G networks has revolutionized IoT environments with enhanced bandwidth, ultra-low latency, and ubiquitous connectivity. However, these complex and data-intensive networks demand intelligent, real-time anomaly detection mechanisms. Traditional methods fall short in dynamic settings, necessitating a fusion of cognitive computing and data analytics to ensure reliability, resilience, and security.This study aims to develop an integr…
Subjective Assessments and Serum Cortisol Levels as Risk Factors of Pain Persistence in the Late Postoperative Period in Old and Oldest-Old Patients
Postoperative pain is one of the most common postoperative complications, resulting in significant burdens and adverse outcomes among patients, notably the frailest ones. Predicting the likelihood of intense postoperative pain can help optimize a patient’s recovery. The aims of this study were to build a prognostic model of pain persistence in elderly and senile patients in the late postoperative period, based on clinical and laboratory parameter…
Elucidation of plasma protein binding, blood partitioning, permeability, CYP phenotyping and CYP inhibition studies of Withanone using validated UPLC method
No prominent works on this page.
Elucidation of plasma protein binding, blood partitioning, permeability, CYP phenotyping and CYP inhibition studies of Withanone using validated UPLC method
Subjective Assessments and Serum Cortisol Levels as Risk Factors of Pain Persistence in the Late Postoperative Period in Old and Oldest-Old Patients
Postoperative pain is one of the most common postoperative complications, resulting in significant burdens and adverse outcomes among patients, notably the frailest ones. Predicting the likelihood of intense postoperative pain can help optimize a patient’s recovery. The aims of this study were to build a prognostic model of pain persistence in elderly and senile patients in the late postoperative period, based on clinical and laboratory parameter…
Integrating Data Analytics and Cognitive Computing for Real-Time Anomaly Detection in 6G IoT Environments
The emergence of 6G networks has revolutionized IoT environments with enhanced bandwidth, ultra-low latency, and ubiquitous connectivity. However, these complex and data-intensive networks demand intelligent, real-time anomaly detection mechanisms. Traditional methods fall short in dynamic settings, necessitating a fusion of cognitive computing and data analytics to ensure reliability, resilience, and security.This study aims to develop an integr…
Medicine (2 works) · ADME (1 work) · Analytics (1 work) · Anesthesia (1 work) · Anesthesia and Pain Management (1 work) · Anomaly detection (1 work) · Anomaly Detection Techniques and Applications (1 work) · Biochemistry (1 work) · Biology (1 work) · Cardiac, Anesthesia and Surgical Outcomes (1 work)