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Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm
Technologies like cloud computing, Artificial Intelligence (AI), and Machine intelligence technologies must combine to accomplish computational intelligence. To deliberate the tasks promptly and effectively, t...
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Open AccessStatistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection
Object detection is a critical and complex problem in computer vision, and deep neural networks have significantly enhanced their performance in the last decade. There are two primary types of object detectors...
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TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms
Software-defined networks (SDN) offer a centralized administration programming interface to govern the network infrastructure. It overtook conventional networks by creating a configurable link between the cont...
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Open AccessResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
Carcinoma is a primary source of morbidity in women globally, with metastatic disease accounting for most deaths. Its early discovery and diagnosis may significantly increase the odds of survival. Breast cance...
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Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors
In recent years, enormous advancement has taken place in biomedical engineering, which has paved the way for robot-assisted surgery in various complex surgical procedures. In robotic surgery, the reinforcement...
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Chapter and Conference Paper
A Graph Invariant-Based TGO Model for RailTel Optical Networks
Optimization methods are used to develop a model that can decrease production costs and maximize performance. There are several strategies for optimizing in soft computing techniques, such as scent marking opt...