7 Result(s)
within
S. Jafar Ali Ibrahim
English
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Article
Two-ways chip to chip communications through 2-dimensional photonic structures via photonic integrated circuit
In this study, two-dimensional photonic structures (triangular, square, and honeycomb) are used to realise chip-to-chip communications in two ways. The transportation of signals from one chip to another is qui...
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Article
Synthesized feature learning model on news aggregator for chatbot
The introduction of Deep learning over Shallow Learning has powered machines in the current era. The Conversational Software Agent (often referred to as a Chatbot) employs deep learning techniques to behave li...
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Chapter and Conference Paper
Performance Augmentation of DIMOS Transistor
In this study, the source region of a partially depleted PD SOI n-MOSFET has a high peak-to-valley ratio tunnel diode buried within it. In the MOSFET source region, intrinsic germanium is added at various micr...
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Chapter
Estimating the Risk of Diabetes Using Association Rule Mining Based on Clustering
Association rule is a well known and simple strategy for finding relations between information in a huge informational collection. Association rule summarization is used to deliver an enormous arrangement of r...
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Chapter and Conference Paper
Detection of Parkinson’s Disease in Brain MRI Images Using Deep Learning Algorithms
A neurological illness called Parkinson’s disease usually affects elderly persons. Dopamine is produced by neurons in the Substantia Nigra area and is depleted in Parkinson's disease. Movement is impacted by t...
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Chapter and Conference Paper
SVM-Based Cloning and Jamming Attack Detection in IoT Sensor Networks
Internet of things (IoT) devices are susceptible to numerous safety intimidations because of their limited features and abilities. In IoT, the wireless communications are generally shown intermittently amongst...
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Article
Prediction of Novel Drugs and Diseases for Hepatocellular Carcinoma Based on Multi-Source Simulated Annealing Based Random Walk
Computational techniques for foreseeing drug-disease associations by means of incorporating gene expression as well as biological network give high intuitions to the composite associations amongst targets, dru...
