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Article
Computational frameworks for zoonotic disease control in Society 5.0: opportunities, challenges and future research directions
This study investigates the intersection of existing computational frameworks for zoonotic disease control within the emerging societal paradigm, Society 5.0. Technologies in human-centric computing can facili...
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Article
MTCNN++: A CNN-based face detection algorithm inspired by MTCNN
Increasing security concerns in crowd centric topologies have raised major interests in reliable face recognition systems globally. In this context, certain deep learning frameworks have been proposed till dat...
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Chapter and Conference Paper
A Deep CNN Framework for Oral Cancer Detection Using Histopathology Dataset
One of the most common oncological types is oral cancer. Although medical technology has advanced at a phenomenal rate, high fatality has been observed in develo** countries due to the lack of early stage di...
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Chapter
Machine Learning-Based Sustainable Dew Computing: Classical to Quantum
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Article
XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI
Machine learning (ML) has been used for classification of heart diseases for almost a decade, although understanding of the internal working of the black boxes, i.e., non-interpretable models, remain a demandi...
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Chapter and Conference Paper
Performance Analysis of Machine Learning Algorithms for Prediction of Cerebral Attack (Stroke)
In this study, we have analysed the behaviour and performance of twelve machine learning (ML) algorithms in prediction of cerebral attack (stroke). The ML algorithms used were light gradient boosting machine (...
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Chapter and Conference Paper
Binary Classification of Thyroid Using Comprehensive Set of Machine Learning Algorithms
Binary classification of Thyroid has been observed in several manuscripts in literature. This study also classifies the disease using twelve machine learning algorithms. The results are compared with existing ...
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Chapter and Conference Paper
Experimental Validation of Mesa Sine Wave in Stock Price Prediction
Rising dissemination of learning algorithms in almost all spheres of life has been witnessed in the last 5 years. In this regard, stock market has provided a huge landscape for data science to introduce comput...
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Chapter and Conference Paper
A Low Resource Machine Learning Approach for Prediction of Dressler Syndrome
Cosmopolitan lifestyle and livelihood modifications have marked a toll on human health to the extent of myocardial disease onset at a relatively tender stage. One of the major issues that have been observed on...
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Chapter and Conference Paper
Graded Classification of Liver Cirrhosis Using Machine Learning Algorithms on a Highly Unbalanced Dataset
Liver cirrhosis is the fibrosis of liver caused by a long-term damage of the organ. This study classifies the disease in four classes based on a highly unbalanced dataset having 18 features and a data count of...
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Article
Classification of diabetic retinopathy using stacked machine learning approach on low resource dataset
This study focuses on classification of Diabetic Retinopathy (DR) using Machine Learning (ML) algorithms on low resource dataset. We conduct the computation on a publicly available dataset comprising of just 1...
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Article
Design of synchronous decimal counter using reversible Toffoli–Fredkin Netlist
Investigations in reversible computation have been one of the notable dimensions among the emerging research domains. Reversible circuits promise near-zero heat dissipation resulting in a considerable amount o...
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Article
Toffoli Netlist and QCA implementations for existing four variable reversible gates: a comparative analysis
With CMOS reaching its fundamental physical heat threshold limits, reversible logic has emerged as a viable alternative due to its heat arresting attributes. CMOS started witnessing frequency issues with maxi...
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Article
A reversible approach to two’s complement addition using a novel reversible TCG gate and its 4 dot 2 electron QCA architecture
Classical computers are already facing threshold limitations with CMOS getting restricted to clocking speeds in GHz range and alarming heat dissipation issues. Both these issues have been addressed by Quantum...
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Chapter and Conference Paper
Reversible Code Converters Based on Application Specific Four Variable Reversible Gates
The rising research in reversible logic, estimating it to be latent alternative for CMOS, has paved the way for several proposals for reversible logic synthesis. Application oriented reversible circuit designs...
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Chapter and Conference Paper
A Comparative Analysis of CNF and XOR-AND Representations for QCA Majority Gate Estimation
Complimenting the rising research of reversible computation, Quantum Dot Cellular Automata (QCA) has emerged as a potential alternative for CMOS. Although in its nascent stage, QCA promises logical reversibili...
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Chapter and Conference Paper
Logic Design and Quantum Map** of a Novel Four Variable Reversible s2c2 Gate
Reversible Logic has emerged as a topic of massive research owing to its promising heat arresting attribute and being an inherent part of quantum computing. CMOS has already started witnessing physical thresho...
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Chapter and Conference Paper
Taxonomy of Decimal Multiplier Research
Decimal arithmetic hardware research accelerated in the last decade with introduction of decimal floating point formats in “IEEE 754-2008” standards. During the revision phase (IEEE 754R), 2000–2008, global re...
