Search Results - "Idrees, Sheikh Mohammad"

A Prediction Approach for Stock Market Volatility Based on Time Series Data by Idrees, Sheikh Mohammad, Alam, M. Afshar, Agarwal, Parul

“…Time series analysis and forecasting is of vital significance, owing to its widespread use in various practical domains. Time series data refers to an ordered…”
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Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework by Mohammad, Awwab, Siddiqui, Farheen, Alam, M. Afshar, Idrees, Sheikh Mohammad

“…Abstract The commercial adoption of BCI technologies for both clinical and non-clinical applications is drawing scientists to the creation of wearable devices…”
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Next-Gen Cloud Efficiency: Fault-Tolerant Task Scheduling With Neighboring Reservations for Improved Resource Utilization by Umar Mushtaq, Sheikh, Sheikh, Sophiya, Idrees, Sheikh Mohammad

“…One of the main goals in any computational system like the cloud is to effectively allocate resources proficiently for task scheduling. However, the dynamic…”
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A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation by Farooqi, Abdul Majid, Alam, M. Afshar, Hassan, Syed Imtiyaz, Idrees, Sheikh Mohammad

“…Connected vehicles are a vital part of smart cities, which connect over a wireless connection and bring mobile computation and communication abilities. As a…”
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Blockchain-Based Digital Contact Tracing Apps for COVID-19 Pandemic Management: Issues, Challenges, Solutions, and Future Directions by Idrees, Sheikh Mohammad, Nowostawski, Mariusz, Jameel, Roshan

“…The COVID-19 pandemic has caused substantial global disturbance by affecting more than 42 million people (as of the end of October 2020). Since there is no…”
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Enhancing customer retention in telecom industry with machine learning driven churn prediction by Sikri, Alisha, Jameel, Roshan, Idrees, Sheikh Mohammad, Kaur, Harleen

“…Customer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective…”
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Early Prediction of Lung Cancers Using Deep Saliency Capsule and Pre-Trained Deep Learning Frameworks by Ramana, Kadiyala, Kumar, Madapuri Rudra, Sreenivasulu, K., Gadekallu, Thippa Reddy, Bhatia, Surbhi, Agarwal, Parul, Idrees, Sheikh Mohammad

“…Lung cancer is the cellular fission of abnormal cells inside the lungs that leads to 72% of total deaths worldwide. Lung cancer are also recognized to be one…”
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A study of big data and its challenges by Idrees, Sheikh Mohammad, Alam, M. Afshar, Agarwal, Parul

“…Big data is an emerging torrent. We are held up in a Lake of data and its intensity is continuously increasing. With the fast growth of promising applications…”
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Next-Gen Cloud Efficiency: Fault-Tolerant Task Scheduling with Neighboring Reservations for Improved Cloud Resource Utilization by Mushtaq, Sheikh Umar, Sheikh, Sophiya, Idrees, Sheikh Mohammad

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In-depth analysis of fault tolerant approaches integrated with load balancing and task scheduling by Mushtaq, Sheikh Umar, Sheikh, Sophiya, Idrees, Sheikh Mohammad, Malla, Parvaz Ahmad

“…One of the most important and frequently reported issues in cloud computing is fault tolerance. Implementing Fault Tolerance (FT) in cloud computing is…”
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