Chinmay Chakraborty
Dados Biográficos
| ID | 7565047 |
|---|---|
| NOME | Chinmay Chakraborty |
| PRENOMES | Chinmay |
| SOBRENOME | Chakraborty |
| ASSINATURA | CHAKRABORTY C |
| AFILIAÇÕES | Birla Institute of Technology, Mesra |
| ORCID | 0000-0002-4385-0975 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 9 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 9 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
CerviSpectraDiag
The early stages of cervical cancer (CC) cause mainly morphological changes in cellular structures, which biopsy techniques effectively detect with high diagnostic accuracy. However, biopsies can be costly and sometimes painful, with diagnostic reports often requiring several days to weeks, depending on available healthcare resources. These delays and expenses pose significant challenges for women in underserved communities who may have limited a…
A Robust Aggregation of Federated Large Language Models for Multimodal Knowledge Discovery in Computational Social Systems
Amid a rapidly evolving information era, large-scale multimodal knowledge discovery in computational social systems emerges as a key research domain. Large language models (LLMs) play a crucial role in this field, providing contextual understanding and task adaptability. Yet, centralized training of LLM raises privacy concerns. Federated learning (FL) offers a distributed alternative, but it struggles with data heterogeneity and security issues r…
Trustworthy-Based User Behavior Model
The distributed network utilizing the integrity-based resilient machine learning (DRML) approach offers a robust methodology to address challenges associated with complex Internet of Things (IoT) applications, computational resource limitations, and environmental sustainability. In heterogeneous cloud computing environments, where edge and central clouds collaborate to meet diverse demands in various sectors, significant challenges arise in task …
Mitigating Information Interruptions by Covid-19 Face Masks
The coronavirus disease 2019 (COVID-19) preventive measures have resulted in significant lifestyle changes. One of the COVID-19 new normal is the usage of face masks for protection against airborne aerosol which creates distractions and interruptions in voice communication. It has a different influence on speech than the standard concept of noise affecting speech communication. Furthermore, it has varied effects on speech in different frequency b…
Generative Steganography Based on Long Readable Text Generation
Text steganography has received a lot of attention in the application of covert communication. How to ensure desirable capacity and imperceptibility has become a key issue in text steganography. There are two typical approaches, i.e., text-selection-based steganography and text-generation-based steganography. However, the text-selection-based approaches generally have the very low hidden capacity and are not applicable in practical scenarios. Alt…
Explainable Machine Learning for Data Extraction Across Computational Social System
This article addresses the explainable machine learning for data extraction on diverse datasets. In many cases, individual or specific approaches have been developed for feature selection (FS) on a certain dataset, but collecting the diversity dataset and demonstrating it through different FS methods are challenging. Thus, this article proposed multiapproaches for FS with the classification of diverse datasets. The proposed framework is developed…
Autonomous Behavioral Decision for Vehicular Agents Based on Cyber-Physical Social Intelligence
In future smart cities supported by cyber-physical social intelligence, autonomous behavioral decision for vehicular agents is going to become a general demand. Despite much progress achieved in autonomous behavioral decision of vehicular agents, the existing works can just be used in scenarios of short-distance behavioral decision. Naturally, they are not well suitable for long-distance behavioral decision tasks, posing much challenge in realist…
Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems
In many sectors, including healthcare services, Internet of Things (IoT) systems are growing rapidly, providing promising technological, economical, and social potential. Healthcare services can be improved with IoT capabilities, including remote patient monitoring, diagnosis of medical issues in real-time, and more, all of which improves both the quality and the satisfaction of human users. The Internet of Medical Things (IoMT) is gaining moment…
A modified social spider algorithm for an efficient data dissemination in Vanet
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Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems
In many sectors, including healthcare services, Internet of Things (IoT) systems are growing rapidly, providing promising technological, economical, and social potential. Healthcare services can be improved with IoT capabilities, including remote patient monitoring, diagnosis of medical issues in real-time, and more, all of which improves both the quality and the satisfaction of human users. The Internet of Medical Things (IoMT) is gaining moment…
A modified social spider algorithm for an efficient data dissemination in Vanet
Autonomous Behavioral Decision for Vehicular Agents Based on Cyber-Physical Social Intelligence
In future smart cities supported by cyber-physical social intelligence, autonomous behavioral decision for vehicular agents is going to become a general demand. Despite much progress achieved in autonomous behavioral decision of vehicular agents, the existing works can just be used in scenarios of short-distance behavioral decision. Naturally, they are not well suitable for long-distance behavioral decision tasks, posing much challenge in realist…
Mitigating Information Interruptions by Covid-19 Face Masks
The coronavirus disease 2019 (COVID-19) preventive measures have resulted in significant lifestyle changes. One of the COVID-19 new normal is the usage of face masks for protection against airborne aerosol which creates distractions and interruptions in voice communication. It has a different influence on speech than the standard concept of noise affecting speech communication. Furthermore, it has varied effects on speech in different frequency b…
Generative Steganography Based on Long Readable Text Generation
Text steganography has received a lot of attention in the application of covert communication. How to ensure desirable capacity and imperceptibility has become a key issue in text steganography. There are two typical approaches, i.e., text-selection-based steganography and text-generation-based steganography. However, the text-selection-based approaches generally have the very low hidden capacity and are not applicable in practical scenarios. Alt…
Explainable Machine Learning for Data Extraction Across Computational Social System
This article addresses the explainable machine learning for data extraction on diverse datasets. In many cases, individual or specific approaches have been developed for feature selection (FS) on a certain dataset, but collecting the diversity dataset and demonstrating it through different FS methods are challenging. Thus, this article proposed multiapproaches for FS with the classification of diverse datasets. The proposed framework is developed…
A Robust Aggregation of Federated Large Language Models for Multimodal Knowledge Discovery in Computational Social Systems
Amid a rapidly evolving information era, large-scale multimodal knowledge discovery in computational social systems emerges as a key research domain. Large language models (LLMs) play a crucial role in this field, providing contextual understanding and task adaptability. Yet, centralized training of LLM raises privacy concerns. Federated learning (FL) offers a distributed alternative, but it struggles with data heterogeneity and security issues r…
Trustworthy-Based User Behavior Model
The distributed network utilizing the integrity-based resilient machine learning (DRML) approach offers a robust methodology to address challenges associated with complex Internet of Things (IoT) applications, computational resource limitations, and environmental sustainability. In heterogeneous cloud computing environments, where edge and central clouds collaborate to meet diverse demands in various sectors, significant challenges arise in task …
CerviSpectraDiag
The early stages of cervical cancer (CC) cause mainly morphological changes in cellular structures, which biopsy techniques effectively detect with high diagnostic accuracy. However, biopsies can be costly and sometimes painful, with diagnostic reports often requiring several days to weeks, depending on available healthcare resources. These delays and expenses pose significant challenges for women in underserved communities who may have limited a…
Computer Science (9 obras) · Artificial Intelligence (8 obras) · Computer security (3 obras) · Machine learning (3 obras) · Mathematics (3 obras) · Privacy-Preserving Technologies in Data (3 obras) · Advanced Data and IoT Technologies (2 obras) · Algorithm (2 obras) · Data Mining Algorithms and Applications (2 obras) · Engineering (2 obras)