Search Results - "Taha, Mohammad M. A"

A Comparative Study of Single and Multi-Stage Forecasting Algorithms for the Prediction of Electricity Consumption Using a UK-National Health Service (NHS) Hospital Dataset by Taha, Ahmad, Barakat, Basel, Taha, Mohammad M. A, Shawky, Mahmoud A, Lai, Chun Sing, Hussain, Sajjad, Abideen, Muhammad Zainul, Abbasi, Qammer H

“…Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things…”
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Memristive Architectures and Algorithms for Approximate Graph-Based Inference by Taha, Mohammad M. A

“…The goal of this thesis is to design fast, low-power, robust graph-based inference systems. Our approach to this is by using (1) in-memory computing, (2)…”
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AI-Based Fall Detection Using Contactless Sensing by Taha, Ahmad, Taha, Mohammad M.A., Barakat, Basel, Taylor, William, Abbasi, Qammer H., Ali Imran, Muhammad

“…Falls are a major health concern for the elderly as it threatens their livelihood and independence. Nearly 50% of the older adults, aged over 65 years old,…”
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Realization of Arithmetic Operators Based on Stochastic Number Frequency Signal Representation by Taha, Mohammad M.A, Perkowski, Marek

“…This paper presents new arithmetic operators based on frequency signal representation. The results obtained when testing/simulating the arithmetic operators…”
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Naive Bayesian inference of handwritten digits using a memristive associative memory by Taha, Mohammad M. A., Teuscher, Christof

“…Although Bayesian inference enhances intelligent probabilistic computing systems, it is computationally expensive and not efficient to implement on traditional…”
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Approximate in-memory Hamming distance calculation with a memristive associative memory by Taha, Mohammad M. A., Woods, Walt, Teuscher, Christof

“…Pattern matching algorithms, which may be realized via associative memories, require further improvements in both accuracy and power consumption to achieve…”
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