Conference Presentations by DR. HIREN THAKOR
Microwave Engineering & Technologies, 2025
According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the le... more According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the leading causes of mortality, accounting for roughly 16% of all deaths globally. The goal of the cancer community is to improve the lives of those who are impacted by cancer and to cut the cancer death rate in half during the next several years. If cancer is identified early and treated, its impact on humanity can be minimized. We examine how AI-enabled integrated medicine might improve comprehensive healthcare monitoring and cancer treatment control systems. The foundation of this comprehensive approach is the integration of various treatment modalities, such as radiotherapy, chemotherapy, immunotherapy, targeted therapy, hormone therapy, surgical procedures, palliative care, integrative medicine, precision medicine, stem cell transplantation, photodynamic therapy, radiofrequency ablation, CART cell therapy, angiogenesis inhibitors, phototherapy, and electron-chemotherapy. Rapid advancements in artificial intelligence (AI) have demonstrated its potential to revolutionize biomedical cancer investigation by providing cutting-edge approaches to cancer detection, treatment, and patient care in general.
Research Matrix, 2024
Artificial Intelligence (AI) is notably revolutionizing the health care sector by offering advanc... more Artificial Intelligence (AI) is notably revolutionizing the health care sector by offering advanced solutions for improving patient care, clinical outcomes, and operational efficiency. With the addition of machine learning (ML), deep learning, AI technologies are being used to enhance diagnostics, support clinical decision-making, and enable personalized treatment strategies. AI algorithms can examine large volumes of complex medical data. Some are that electronic health records (EHRs), medical images, and genetic information for to detect patterns and predict diseases with better speed and accuracy than traditional methods. The main transformative aspects of AI in health care are its role in early disease detection, particularly in fields like oncology, cardiology, and neurology. AI-powered tools can interpret radiological images, pathology reports, and wearable device data to monitor patient health in real time. This work with several challenges remains, including ethical concerns, data privacy, algorithmic transparency, and the risk of biases. There is a need for clear regulatory frameworks, interdisciplinary collaboration, and responsible AI development to ensure safe and equitable health care delivery. This paper explores the current applications, benefits, limitations, and future potential of AI in transforming patient care, with an emphasis on real-time monitoring, predictive analytics, and personalized medicine.
Ayudh, 2022
Location tracking is one in every of the most recent technology in current era. Using of RFID met... more Location tracking is one in every of the most recent technology in current era. Using of RFID method control over more important data within the case of sensitive personal data like biometric, health, or identity credential as does the difficulty of protecting the information. Finally, organisations could consider making their privacy impact assessments. This paper also discusses the employment of those methods for tracking multiple objects, and use of RFDI as advance application.
View Of Space , 2015
Nowadays 3D media have become more and more widespread and have been made available in numerous o... more Nowadays 3D media have become more and more widespread and have been made available in numerous online repositories. A systematic and formal approach for representing and organizing shape-related information is needed to share 3D media, we present in detail its structure and describe the most relevant choices related to its development.
I have described a completely automated structure and motion pipeline for the reconstruction and rendering of architectural and urban models. Also using of J-LINKAGE algorithm for defines a qualitative behavior for cluster points.
Our strategy combines smart sampling techniques with propagation algorithms for identifying simple elements. This strategy is applied for semiautomatic identification of dominant planes and some typical quadrics which can be found in architectural surveying. The evaluation of differences between ideal geometric models and real range-based solids allows identify structural defects and provide an assistance to intervention policies.
Our system can robustly recover 3D points and cameras from uncalibrated views, without manual assistance. The reconstructed structure is augmented by fitting geometrical primitives such as planes and cylinders to the sparse point cloud obtained.
Such information is the key to obtain a higher level understanding of the scene; we use this knowledge to efficiently render the recovered environment, capturing its global appearance while preserving scalability.
Journal of Open Source Developments, 2025
As cloud computing powers today's applications, optimizing cloud-based development is crucial to ... more As cloud computing powers today's applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization for multi-cloud environments, allowing applications to operate seamlessly across different providers, improving redundancy and reducing latency. A major focus is on fault tolerance and resilience, introducing frameworks to detect and address infrastructure failures in real-time, ensuring high availability and business continuity. Additionally, we propose energy-efficient resource management strategies to minimize the carbon footprint of cloud applications by aligning computational loads with green energy availability and employing energy-aware scheduling methods. Security and compliance are also key considerations, balancing rigorous data protection with the need for application speed and scalability. This research uses a blend of simulation modeling, real-world benchmarking, and prototype testing in commercial cloud environments to validate our methodologies. The results highlight significant improvements in performance, cost efficiency, and sustainability, offering a holistic approach to optimizing cloud applications. Our work aims to provide frameworks and best practices that developers and enterprises can adopt, enhancing the efficiency, responsiveness, and reliability of cloud-based applications across diverse deployment scenarios.
STM Journals, 2025
According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the le... more According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the leading causes of mortality, accounting for roughly 16% of all deaths globally. The goal of the cancer community is to improve the lives of those who are impacted by cancer and to cut the cancer death rate in half during the next several years. If cancer is identified early and treated, its impact on humanity can be minimized. We examine how AI-enabled integrated medicine might improve comprehensive healthcare monitoring and cancer treatment control systems. The foundation of this comprehensive approach is the integration of various treatment modalities, such as radiotherapy, chemotherapy, immunotherapy, targeted therapy, hormone therapy, surgical procedures, palliative care, integrative medicine, precision medicine, stem cell transplantation, photodynamic therapy, radiofrequency ablation, CART cell therapy, angiogenesis inhibitors, phototherapy, and electron-chemotherapy. Rapid advancements in artificial intelligence (AI) have demonstrated its potential to revolutionize biomedical cancer investigation by providing cutting-edge approaches to cancer detection, treatment, and patient care in general.
STM Journals, 2025
The paper offers a detailed study of cyber security intimidations, cyber extremism, and cyber war... more The paper offers a detailed study of cyber security intimidations, cyber extremism, and cyber warfare in the worldwide context. It touches upon the progress of cyber intimidations from discrete hackers to state-supported actors, exploratory mutual attack vectors such as malware and phishing. The conversation probes into the features of cyber extremism and the inspirations driving such actions. Besides, it clarifies the idea of cyber warfare, as well as strategies and case studies of distinguished occurrences. Lawful and moral deliberations in cyberspace, together with mitigation tactics and upcoming opportunities, are also scrutinized. Through producing historical viewpoints, existing difficulties, and projected growths, the paper emphasizes the imperative for cooperative exertions to improve cyber flexibility and combat evolving intimidations.
STM Journals, 2025
The exponential growth of big data in recent years has created an urgent need for innovative and ... more The exponential growth of big data in recent years has created an urgent need for innovative and efficient processing frameworks capable of managing and analyzing massive and complex datasets. Among these, MapReduce has gained prominence as a powerful tool for distributed data processing due to its simplicity and scalability. However, traditional MapReduce frameworks often encounter significant limitations in terms of efficiency, scalability, and resource optimization, particularly when handling large-scale and heterogeneous datasets. To address these challenges, this study introduces an advanced MapReduce algorithm that incorporates dynamic task scheduling, enhanced data partitioning strategies, and a robust load-balancing mechanism. These improvements are designed to optimize processing speed, improve resource utilization, and enhance fault tolerance. The proposed solution is rigorously evaluated through extensive experiments on a diverse range of datasets, demonstrating substantial improvements over conventional MapReduce frameworks. The results underscore the potential of the advanced algorithm to revolutionize big data processing, offering a scalable, efficient, and adaptable solution for a wide array of applications across multiple domains, fostering innovation in data-driven fields.
STM Journals, 2025
Poetry has long been a means of expressing emotions and ideas, yet understanding the emotional de... more Poetry has long been a means of expressing emotions and ideas, yet understanding the emotional depth within poems can be challenging using traditional computer-based tools. This study explores the emotions embedded in Charani poems, an important genre in Indian literature, through the lens of their distinctive poetic style. The primary objective is to develop a novel method of analyzing emotions in Charani poetry, contributing to the broader field of emotion analysis in literature. Drawing inspiration from the Indian concept of "Navarasa", which categorizes nine core emotions, the study applies this framework to classify over 300 Charani poems. By grouping the poems according to the nine emotions, rasas, such as love, anger, sorrow, and joy, the study aims to provide a structured approach to understanding the emotional significance in these works. This classification not only offers deeper insights into the poetic expressions of Charani poems but also presents a more accessible method for studying emotional content across poetry genres. By connecting ancient cultural concepts with modern computational analysis, this research provides a fresh perspective on emotional content in literature.
Papers by DR. HIREN THAKOR
Research Matrix, 2024
In recent day’s demands of high productivity, security of computer systems and computer networks ... more In recent day’s demands of high productivity, security of computer systems and computer networks is very important and general issue. A computer network is contained of nodes and links, a node is the end point of any division in a computer, a terminal device, workstation or interconnecting equipment ability. A link is a communication path among two nodes. A network is the interconnection of two or more devices. The study of arrangement or mapping of nodes of a network is known as network topology. There are different types of the topologies like bus, ring, star, tree, mesh, hybrid etc. This paper provides a study and analysis of different computer network topologies, their advantages and disadvantages.
Research Matrix, 2022
The issues that will be discussed are just a small sample of the many unanswered questions. Some ... more The issues that will be discussed are just a small sample of the many unanswered questions. Some of them might be tackled later on by the advancement of novel strategies or by acquiring an extra comprehension. Others might stay an issue of worry to be managed in every application independently. We will systematically describe them in the following sections following the progression of a pattern recognition system as follows: Another gaining calculation got from a notable regularization model is produced and applied to the errand of reproduction of an inhomogeneous item as example acknowledgment. In particular, it has been shown that pattern recognition can be reformulated in terms of the inverse. Finally, numerical experiments with synthetic experimental data with a reasonable amount of noise have been conducted. This approach has resulted in successful recoveries, and the simulations' findings are compatible with previous approaches. In order to advance real-world applications, both old and new open issues that need to be addressed are discussed in this paper. Some may be overcome solely through brute force methods, while others may be solved or circumvented through novel and more effective methods or a better comprehension of their causes. In this section, we will attempt to define as many unresolved issues as we can.
Research Matrix, 2023
A complete survey of the writing at the hour of this composition, covering an expansive range of ... more A complete survey of the writing at the hour of this composition, covering an expansive range of spearheading works for semantic and occasion level division, including completely convolutional pixel-marking organizations, encoder-decoder structures, multi-scale and pyramid based approaches, repetitive organizations, visual consideration models, and generative models in ill-disposed settings. We explore the closeness, qualities and difficulties of these profound learning models, analyze the most broadly utilized datasets, report exhibitions, and talk about promising future exploration headings around here. We give a complete survey and a quick examination of various parts of division calculations utilizing profound picking up, including the preparation information, the decision of organization designs, misfortune capabilities, preparing systems, and their key commitments.
Research Matrix , 2016
Product marketers love a bandwagon, and no bandwagons have been more appealing in the past ten ye... more Product marketers love a bandwagon, and no bandwagons have been more appealing in the past ten years of information technology (IT) as the Service Oriented Architecture (SOA) and cloud computing ones. Much of the challenge of marketing products is getting the attention of the target customer in order to create an opportunity to pitch products or services to them. Of course, if it doesn't work with one bandwagon, as the old adage goes, try, try again. This is why we often see the same products marketed with different labels and categories applied to them. Product vendors will insist that they have developed some new add-on or tweaked a user interface to include the new concept, but at the very core, the products remain fundamentally unchanged.
It is particularly frustrating when product marketing gets in the way of implementing what otherwise would be a valuable concept. Competing vendor, consultant, and individual implementer messages on the meaning of a specific term interferes with realizing real value. This is especially the case with the emerging concept of private clouds. While the term could potentially have real meaning and lasting value, the product and consulting marketers have turned any potential meaning into mush that hides that value.
Cloud computing is primarily loosely-coupled, location-independent virtualized services run on abstracted infrastructure with the primary intent of reducing IT expenditures, increasing flexibility, or improving overall system robustness. Given that this is the general cloud concept, is there any value in a new concept called private clouds? How does the addition of the word private add value to the service-oriented cloud computing that has been discussed for a handful of years? Is it a valuable term, or mere marketing spin? This article first examines the range of definitions being applied to the private cloud concept, then offers a summary on the value provided by private clouds.
Research Matrix, 2022
Analyse text documents to discover complex and hidden relationships between words. We will illust... more Analyse text documents to discover complex and hidden relationships between words. We will illustrate this with a Sherlock Holmes novel. Moreover we will explain how hidden patterns in text can be used to recognise the author of a text.
The Java open-source SPMF data mining library will be used in this tutorial. It is a library designed to discover patterns in various types of data, including sequences, which can also be used as a standalone software, and to discover patterns in other types of files. Handling text documents is a new feature of the most recent release of SPMF (v.2.01).
OBTAINING A TEXT DOCUMENT TO ANALYSE.
Hesma, 2013
This abstract explores key image processing principles, focusing on enhancing visual information ... more This abstract explores key image processing principles, focusing on enhancing visual information for humans and optimizing data for machine interpretation through rendering (1.1.1). It highlights the use of virtual prototyping, employing CAD and CAE applications to validate designs via 3D computer-generated parts and motion simulation before physical creation (1.1.1). Finally, it discusses the necessity of 3D visualization, its objectives, various applications, and the challenges of 3D imaging in communication (1.1.1).
International Journal of Engineering Applied Sciences and Technology, 2025
Emotion is the essence of poetry, transcending linguistic and cultural boundaries. The classifica... more Emotion is the essence of poetry, transcending linguistic and cultural boundaries. The classification of poetry based on emotional content presents unique challenges due to the figurative, subjective, and symbolic nature of poetic language. This review explores the current landscape of emotion-based poetry classification using machine learning (ML) and deep learning (DL) approaches, with a special focus on multilingual and culturally diverse datasets. Emphasis is placed on Indian languages such as Hindi, Punjabi, and Gujarati often guided by the classical Indian aesthetic framework of Navrasa as well as modern approaches applied to Arabic, German, Chinese, Spanish, and English poetry. The review integrates insights from over 30 recent studies that utilize models ranging from SVM and Naïve Bayes to BiLSTM, CNN, and transformer-based architectures like BERT and RoBERTa. Additionally, multimodal approaches incorporating audio, prosodic, and biometric data are reviewed. Challenges such as annotation subjectivity, cultural variability in emotion representation, limited datasets, and lack of standard emotion taxonomies are highlighted. The review concludes with recommendations for future research, including the development of cross-lingual corpora, integration of prosodic features, transformer fine-tuning for poetry, and the application of explainable AI to interpret emotion classification in literary texts.
Books by DR. HIREN THAKOR
Raja Rammohun Roy National Agency for ISBN, 2026
This is highly recommended to manage the traffic in urban transportation as consideration of the ... more This is highly recommended to manage the traffic in urban transportation as consideration of the busyness of the roads in business hours and less awareness as well as less obedient people for traffic rules in public. In this scenario faster vehicle movement and the rout selection are the challenges. As the solution of this problem may be address by the advanced graph based algorithm as well as machine learning techniques. This paper is focuses on the comparative study of 2 major techniques for routing as like Imitation Learning (termed as IL), Anytime D* (termed as AD*) algorithm. This study concentrate on the comparison of performance, computational complexity, adaptability and feasibility for deployment. The various results manifest that AD* is faster and accurate in between source to the destination for use in robotic navigation in dynamic environments. Where as the IL has ability to train the model based on the advanced planning techniques or the behaviour of expert drivers behave. The new approach requires to be designed which may more effective for finding the shortest path with learning driven techniques for the intelligent road transportation.
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Conference Presentations by DR. HIREN THAKOR
I have described a completely automated structure and motion pipeline for the reconstruction and rendering of architectural and urban models. Also using of J-LINKAGE algorithm for defines a qualitative behavior for cluster points.
Our strategy combines smart sampling techniques with propagation algorithms for identifying simple elements. This strategy is applied for semiautomatic identification of dominant planes and some typical quadrics which can be found in architectural surveying. The evaluation of differences between ideal geometric models and real range-based solids allows identify structural defects and provide an assistance to intervention policies.
Our system can robustly recover 3D points and cameras from uncalibrated views, without manual assistance. The reconstructed structure is augmented by fitting geometrical primitives such as planes and cylinders to the sparse point cloud obtained.
Such information is the key to obtain a higher level understanding of the scene; we use this knowledge to efficiently render the recovered environment, capturing its global appearance while preserving scalability.
Papers by DR. HIREN THAKOR
It is particularly frustrating when product marketing gets in the way of implementing what otherwise would be a valuable concept. Competing vendor, consultant, and individual implementer messages on the meaning of a specific term interferes with realizing real value. This is especially the case with the emerging concept of private clouds. While the term could potentially have real meaning and lasting value, the product and consulting marketers have turned any potential meaning into mush that hides that value.
Cloud computing is primarily loosely-coupled, location-independent virtualized services run on abstracted infrastructure with the primary intent of reducing IT expenditures, increasing flexibility, or improving overall system robustness. Given that this is the general cloud concept, is there any value in a new concept called private clouds? How does the addition of the word private add value to the service-oriented cloud computing that has been discussed for a handful of years? Is it a valuable term, or mere marketing spin? This article first examines the range of definitions being applied to the private cloud concept, then offers a summary on the value provided by private clouds.
The Java open-source SPMF data mining library will be used in this tutorial. It is a library designed to discover patterns in various types of data, including sequences, which can also be used as a standalone software, and to discover patterns in other types of files. Handling text documents is a new feature of the most recent release of SPMF (v.2.01).
OBTAINING A TEXT DOCUMENT TO ANALYSE.
Books by DR. HIREN THAKOR