Manish Madhava Tripathi
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View article: Facilitators to oncological care in foregut cancer: The patient perspective
Facilitators to oncological care in foregut cancer: The patient perspective Open
View article: Unstructured web data analysis: Insights generation with Python and Pandas
Unstructured web data analysis: Insights generation with Python and Pandas Open
In a world increasingly driven by digital footprints, unstructured web data—ranging from tweets and reviews to blog posts and news feeds—presents both an overwhelming challenge and a transformative opportunity. This review explores the evo…
View article: The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models
The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models Open
Breast cancer is still a big health issue around the world, and it needs to be found quickly and perfectly to improve patient outcomes and lower death rates. Although artificial intelligence (AI) has showed amazing promise in breast cancer…
View article: Recommender Systems for Implicit Feedback Datasets: Collaborative Filtering with Spark
Recommender Systems for Implicit Feedback Datasets: Collaborative Filtering with Spark Open
Recommender systems play a key role in delivering personalized content to users, with collaborative filtering being one of the most popular techniques. While traditional systems often rely on explicit feedback like user ratings, many real-…
View article: Efficient Utilization of Energy in IoT Devices Using Machine Learning Algorithms
Efficient Utilization of Energy in IoT Devices Using Machine Learning Algorithms Open
The expansion of the Internet of Things (IoT) has revolutionized various industries, allowing for the automation of processes, monitoring in real time, and smart decision-making. One of the most significant difficulties confronting IoT dev…
View article: A ROBUST MACHINE LEARNING APPROACH USING MOTE AND HYPERPARAMETER OPTIMIZATION FOR DIABETES PREDICTION USING WEARABLE IOT DEVICE DATA
A ROBUST MACHINE LEARNING APPROACH USING MOTE AND HYPERPARAMETER OPTIMIZATION FOR DIABETES PREDICTION USING WEARABLE IOT DEVICE DATA Open
The introduction of wearable IoT devices to the market has accelerated the speed of continuous health monitoring and early diagnosis of chronic conditions such as diabetes. This paper proposes a strong machine learning approach to diagnosi…
View article: A REFINED VGG-19 MODEL FOR ACCURATE CLASSIFICATION OF LUNG CANCER
A REFINED VGG-19 MODEL FOR ACCURATE CLASSIFICATION OF LUNG CANCER Open
Lung cancer remains one of the leading causes of cancer deaths worldwide, so proper and effective screening methods are crucial. Machine learning algorithms have been shown to be very useful in medical diagnostics, as they can analyze very…
View article: Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making
Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making Open
Breast cancer remains a significant global health concern, impacting millions of women. Early and accurate diagnosis is crucial for improving treatment outcomes and reducing mortality rates. Machine learning (ML) has emerged as a powerful …
View article: Brain Tumor Detection using Hybrid CNN in fMRI images
Brain Tumor Detection using Hybrid CNN in fMRI images Open
One of the deadliest brain tumors in the world. Both adults and children are at risk for the disease. Depending on their position, appearance and shape, it has a low survival rate and is available in different varieties. Incorrect classifi…
View article: Quantifying Breast Cancer: Radiomics, Machine Learning, and Dimensionality Reduction for Enhanced Image-Based Diagnosis
Quantifying Breast Cancer: Radiomics, Machine Learning, and Dimensionality Reduction for Enhanced Image-Based Diagnosis Open
View article: Understanding Barriers to Guideline-Concordant Treatment in Foregut Cancer: From Data to Solutions
Understanding Barriers to Guideline-Concordant Treatment in Foregut Cancer: From Data to Solutions Open
Background A large proportion of patients with foregut cancers do not receive guideline-concordant treatment (GCT). This study sought to understand underlying barriers to GCT through a root cause analysis approach. Methods A single-institu…
View article: Detection of Brain Tumour in MRI Images using Deep Belief Network (DBN)
Detection of Brain Tumour in MRI Images using Deep Belief Network (DBN) Open
One of the world's deadliest illnesses is brain cancer. It is a cancer that often affects adults as much as children. It is the least likely species to survive, and its diversity is determined by its location, sweetness and structure. The …
View article: Integrated Ensemble Strategy for Breast Cancer Detection using Dimensionally Reduction Technique
Integrated Ensemble Strategy for Breast Cancer Detection using Dimensionally Reduction Technique Open
Breast cancer continues to be a prominent issue in global health, requiring the implementation of novel approaches for the timely identification and assessment of the disease. Machine learning has been extensively integrated into the field…
View article: Ensembled Approach for Breast Cancer Detection with Dimensionality Reduction Techniques
Ensembled Approach for Breast Cancer Detection with Dimensionality Reduction Techniques Open
View article: Systematic Exploration Using Intelligent Computing Techniques for Clinical Diagnosis of Gastrointestinal Disorder: A Review
Systematic Exploration Using Intelligent Computing Techniques for Clinical Diagnosis of Gastrointestinal Disorder: A Review Open
In today's era, the growing ratio of Gastrointestinal (GI) diseases in human beings has become a crucial point of notice and must be diagnosed as early as possible. There are various methods to diagnose abdomen-related problems using medic…
View article: A Review Article on Detection of Fake Profile on Social-Media
A Review Article on Detection of Fake Profile on Social-Media Open
Nowadays, practically everyone, from a youngster to an adult, spends more time on online social media platforms, connecting with and exchanging information with individuals all over the world. The social network is becoming a popular m…
View article: A Review Article on Detection of Fake Profile on Social-Media
A Review Article on Detection of Fake Profile on Social-Media Open
Nowadays, practically everyone, from a youngster to an adult, spends more time on online social media platforms, connecting with and exchanging information with individuals all over the world. The social network is becoming a popular means…
View article: Prediction of Post COVID-19 Impact on Indian people using Machine Learning Techniques
Prediction of Post COVID-19 Impact on Indian people using Machine Learning Techniques Open
In current years of Covid-19 impact, COVID-19 is causing an unprecedented difficulty around the world, affecting people's lifestyle choices. The worldwide economy, vocation, and physical and mental prosperity have all been moved by the Cov…
View article: multi-criteria model for vaccine slot tracker using fuzzy logic
multi-criteria model for vaccine slot tracker using fuzzy logic Open
The breakout of Covid has occurred in recent years which had a major impact worldwide. In this scenario, vaccination has proven to be highly successful. In a nation like India, vaccination of a big population is a difficult task. Individua…
View article: A System Model of Fault Tolerance Technique in the Distributed and Scalable System: A Review
A System Model of Fault Tolerance Technique in the Distributed and Scalable System: A Review Open
Fault tolerance is one of the most crucial concerns in distributed systems. Flout tolerance system is very difficult to implement due to its dynamic nature and complex services. Several research efforts consare istently being made to imple…
View article: APPROACHES OF BIG DATA IN HEALTHCARE: A CRITICAL REVIEW
APPROACHES OF BIG DATA IN HEALTHCARE: A CRITICAL REVIEW Open
The term bigdata refers to the largeamountof data that desires new technologies and architectures to seek out valuable knowledge from it by using new and innovative analysis practices. As digitized medical records arecurrentlyutilized by m…
View article: DEVELOPMENT OF ENCRYPTION AND DECRYPTION TECHNIQUE TO SECURE THE CONFIDENTIAL DATA
DEVELOPMENT OF ENCRYPTION AND DECRYPTION TECHNIQUE TO SECURE THE CONFIDENTIAL DATA Open
Cryptography is the science of converting one form of data into another form, to provide security. Converting plain text to cipher text is encryption and converting cipher text to plain text is decryption. In the today’s leading world huge…