49 Result(s)
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Hitesh Kumar Sharma
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Article
A generalized novel image forgery detection method using generative adversarial network
GANs (Generative Adversarial Networks) are widely employed in many domains of science and technology. They have produced high-resolution, photo-realistic faces that appear real to the human eye. However, recog...
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Article
AHP-based multi-criteria decision-making approach for monitoring health management practices in smart healthcare system
Nowadays, artificial intelligence, internet of things and Blockchain-based approaches play a pivotal role in making the complex operations related to monitoring and maintenance simpler and more effective for v...
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Article
Open AccessGenerative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications
The growing demand for applications based on Generative Adversarial Networks (GANs) has prompted substantial study and analysis in a variety of fields. GAN models have applications in NLP, architectural design...
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Article
Fabrication and Characterization of CuInGaSe Thin Films Deposited on Silicon and Quartz Substrates Using One-Step Sputtering
The present study showcases a one-step deposition technique for producing copper indium gallium selenide (CIGS) thin-films on different substrates, employing RF magnetron sputtering at two substrate temperatur...
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Chapter and Conference Paper
Deep Learning Based Face Recognition System for Automated Identification
Face recognition is a fundamental task in computer vision with numerous applications in various domains, including surveillance, security, access control, and human-computer interaction. In recent years, deep ...
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Article
Machine learning based analytical approach for geographical analysis and prediction of Boston City crime using geospatial dataset
Machine Learning algorithms has proved its significant contribution in all major domains of technical and non-technical sectors. In present days, the Intelligence Bureau is also using Artificial Intelligence a...
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Article
Structure-based virtual screening for identification of potential CDC20 inhibitors and their therapeutic evaluation in breast cancer
Cell division cycle 20 (CDC20), a critical partner of anaphase promoting complex (APC/C), is indispensably required for metaphase-to-anaphase transition. CDC20 overexpression in TNBC breast cancer patients has...
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Chapter and Conference Paper
PCA-Based Machine Learning Approach for Exoplanet Detection
The search of planets capable of sustaining life has been taken to a whole new level with NASA’s Kepler mission. The mission has successfully discovered around 4000 planets, however, the task of manual evaluat...
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Chapter and Conference Paper
Deep Learning Approach for Breast Cancer Detection
In traditional method to detect cancer, pathologist examines biopsies to detect and segment, based on cell structure, shape, size, and form of cells. Newly computer-based methods are evolved in Digital Pathology,...
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Chapter
Introduction to Internet of Medical Things (IoMT) and Its Application in Smart Healthcare System
Machine Learning (ML) is one of the most powerful technologies for tackling a wide range of real-world problems in the fast-paced world of the twenty-first century. Both regular and differently-abled persons b...
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Chapter and Conference Paper
A Blockchain Enabled Medical Tourism Ecosystem
Medical tourism is considered as a potential filed for high growth.
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Chapter
Digital Medical Records (DMR) Security and Privacy Challenges in Smart Healthcare System
The major obstacles to the adoption of electronic health records in the healthcare sector are patient privacy and the security of their data. Data security and patient protection are becoming increasingly cruc...
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Chapter
Blockchain-Based EHR Storage and Access Control System
All of us are well aware about the buzzword, which is blockchain. We night have come across or heard this multiple times. All of us know that this technology supports various other use cases and technologies. ...
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Chapter
Integration of IoMT and Cloud Computing for DMR Collection and Storage
The Internet of Medical Things (IoMT) and cloud computing are two very different technologies that have already impacted our daily lives. In the future, their adoption and use are anticipated to spread and pla...
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Chapter
Artificial Intelligence -Based Cloud Storage for Accessing and Predication
Since the corona pandemic, there has never been a time when there was a greater need for innovative medical care. There is no better way to emphasize the need for a smart and improved healthcare system than by...
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Chapter and Conference Paper
Route Optimization for Waste Collection
The vehicle routing problem is a synonym used in the enclosure of transport, distribution, and outsourcing to optimize routes. Route planning techniques are one of VRP’s major errands: planning to seek an opti...
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Chapter and Conference Paper
Deep Learning Based Model for Multi-classification of Flower Images
Flowers are one of the beautiful creations of god, and they exist in thousands and thousands of various species and colorations. Identifying every one of them calls for a botanist with immense know-how and cap...
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Chapter and Conference Paper
Smart City Driven by AI and Data Mining: The Need of Urbanization
In the modern world of urbanization, the needs of any smart city are to manage the various important wheels of the city like water and electricity, urban transportation and traffic system, pragmatic approach t...
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Chapter and Conference Paper
Natural Language Processing Workload Optimization Using Container Based Deployment
BERT stands for Bidirectional Encoder Representations from Transformers. It is a pretrained model that sets condition for both the left and the right context to pre-train deep bi-directional representations fr...
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Chapter and Conference Paper
Retinal Optical Coherence Tomography Classification Using Deep Learning
The execution of medical decision-making or clinical diagnosis in medical or clinical imaging generally involves difficulties with reliability, robustness, and interpretability of data. In this project, we set...
