Chinmay Chakraborty

Birla Institute of Technology, Mesra | BIT Mesra · Department of Electronics and Communication Engineering

Modern transportation networks, with their complexity and dynamic nature, have a substantial demand for intelligent vehicles. Developing effective production strategies for smart vehicles is essential to reducing both production costs and energy consumption. Traditional vehicle production planning has largely depended on heuristic algorithms and so...

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...

Healthcare systems, empowered by the integration of Artificial Intelligence (AI) and Internet of Things networks, are undergoing significant advancements, ushering in a new era of enhanced treatment experiences and improved quality of life. Edge computing plays a pivotal role as an architectural enabler; however, it also presents numerous energy-re...

Unmanned aerial vehicles (UAVs) play a crucial role in remote environmental applications of the Low-Power Internet of Things (IoT) network. However, the interaction between a large number of consumer electronics products integrated with TinyML (CEP-TML) may lead to serious interference and overlap issues in Low-Power IoT networks, which still pose...

Publisher-Elsevier Navigating the Frontiers with Cognitive and Meta Learning Strategies, this compelling exploration delves into the dynamic intersection of cognitive science and meta-learning within the realm of biomedical research. The book embarks on a journey to unravel the complexities of contemporary health challenges by harnessing the power...

In context of 6G mobile computing, the combination of industrial Internet of Things (IoT) and machine learning extends intelligent sensing ability to improve industrial operation efficiency. In conventional operation of sewage treatment process (STP), manipulators often made excessive aeration amount in treatment process, in order to reach environm...

Dear All, We are delighted to invite you to participate in an Online Faculty Development Program (FDP) on " Advanced Developments in AI: From Basics of AI to Generative AI, Explainable AI, and Beyond," taking place from September 23rd to 29th, 2024, from 2 to 7 PM. FDP Link: https://eict.iitr.ac.in/advanced-developments-in-ai-from-basics-of-ai-to-...

In the evolving landscape of smart cities, the integration of technology and real-time data management presents a dual-edged challenge and opportunity for urban accessibility. The web of devices, from smartphones and connected cars to homes and citizens, forms the backbone of a smart city's infrastructure. As cities strive to become technologically...

The convergence of Internet of Things (IoT) technology and blockchain offers transformative potential for the development of smart cities, enhancing industry operations and healthcare systems. IoT devices generate vast amounts of data to optimize urban infrastructure and improve service delivery, while blockchain provides a secure, transparent fram...

It is with great pleasure and enthusiasm that we introduce the Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024), held at the University Center of Aflou on June 26 and 27, 2024. ICEIS’2024 distinguishes itself by engaging researchers from diverse fields beyond computer science, emph...

In recent years, data-driven remote medical management has received much attention, especially in application of survival time forecasting. By monitoring the physical characteristics indexes of patients, intelligent algorithms can be deployed to implement efficient healthcare management. However, such pure medical data-driven scenes generally lack...

A unique method for improving the intelligent agents in retinal image processing is the proposed RAUGAN (Residual Attention UNet GAN) model. Reliability, accuracy, and delineation of retinal vessels are improved by RAUGAN, which incorporates residual attention mechanisms into the model through the use of Generative Adversarial Networks (GANs) and U...

The realm of sports and physical exercise is abuzz with a plethora of opinions, ranging from enthusiastic support to disheartening criticism. Delving into this sea of sentiment can be quite challenging due to the vastness and complexity of the data. This study proposes a novel approach that combines the power of dimensionality reduction with conven...

The emergence of the metaverse, like any other technology, presents both advantages and disadvantages. On the positive side, it can greatly enhance experiences in gaming, entertainment, training, and more, offering significant benefits to users. Conversely, there are notable drawbacks, particularly concerning mental health issues such as escapism a...

Emergence of 5G and beyond promise development of several applications specific Internet-of-Things (IoT) services involving consumer electronics devices doing trustworthy intelligent operations. One such application is smart healthcare support in hospital or home premises where battery driven wearable wireless nodes collect patient data, transmit s...

The healthcare sector has evolved by integrating consumer technologies, IoT, and deep learning. IoT in healthcare includes connected-health, smart-health, and mobile-health, enabling devices to share information for better care. Deep learning, particularly in medical imaging, shows promise for future medical applications. A recent study proposed a...

The challenges faced by road transport are indeed multifaceted. Issues such as inadequate road networks, congested city roads, pedestrian difficulties, poor bridge conditions, parking problems, atmospheric pollution, environmental impact, and traffic rule violations all contribute to the complexities of transportation. Efforts to address these chal...

Introduction The smart city infrastructure consist of technologies and applications which link devices, fetch and manages real time data from a set of devices. The data gathered from sensors that generate real time information, intelligence and analytics which aims to transform the city accessibility in a smart technology enhanced city. In recent y...

Epilepsy is one of the significant neurological disorders affecting nearly 65 million people worldwide. The repeated seizure is characterized as epilepsy. Different algorithms were proposed for efficient seizure detection using intracranial and surface EEG signals. In the last decade, various machine learning techniques based on seizure detection a...

The unique design elements contribute to a realistic surgical environment, ensuring a comprehensive and immersive platform for ophthalmic professionals to hone their skills in a risk-free virtual setting.

Obesity is a global issue that harms everyone’s health, regardless of age or gender. An excessive or abnormal amount of body fat is referred to as obesity. People who are obese are more likely to contract certain illnesses. Obese people are more likely to suffer from diabetes, thyroid, heart disease, liver cancer, and stroke, among other significan...

The conventional Human Activity Recognition (HAR) systems use smartwatches, smartphones, and other wearable devices to autonomously derive consumer physical activities. However, implementing real-time HAR in resource-constrained applications is challenging. Computational offloading approaches must address network reliance, latency, and data privacy...

The integration of Fog computing and 5G communication may enhance Cyber Physical Systems (CPSs) for effective time identification of cyber attacks among consumer electronics. An unsupervised Intrusion Detection System (IDS) based on Generative Adversarial Networks (GANs) and Recurrent Neural Networks (RNNs) is presented in this study. This system i...

A prominent use case of consumer electronics-based Internet of Things (IoT) applications, focused on smart cities, is connected devices that enable cities to optimize their operations via access to high volumes of sensitive data. Yet, these devices commonly utilize public channels for data access and sharing, requiring consistent communication prot...

Artificial Intelligence (AI) empowers consumer electronics, making daily life more convenient, but it also introduces potential privacy risks. Governments worldwide have implemented stringent data regulations to protect individual privacy. Federated Learning (FL) helps AI comply with these regulations and continuously evolve in consumer electronics...

With the rising demand for intelligent services and privacy protection in consumer artificial intelligence (AI), federated edge learning has emerged as a beacon for privacy-preserving distributed machine learning. This non-centralized approach offers distinct data privacy advantages, making it especially suitable for applications with strict privac...

The deep vision sensing has been a practical tool in early disease detection, and this work aims at an important branch of ocular disease recognition. Although a number of researchers had paid attention to it during past years, fine-grained ocular feature extraction always remains a challenge. To handle with this issue, this work benefits from comp...

The internet of vehicles (IoV) is playing a pivotal role in advancing intelligent transportation systems. Deploying the unmanned aerial vehicles (UAVs) as edge nodes in IoV networks has emerged as a promising solution to enhance the communication coverage and energy efficiency (EE). However, the existing UAV deployment and resource allocation strat...

A world of healthcare possibilities has been opened with the development of the Internet of Medical Things and related machine learning, deep learning, and artificial intelligence approaches. It has a broad range of uses: when linked to the Internet, common medical equipment and sensors may gather important data; deep learning and artificial intell...

In recent years, the data security and privacy protection of human cyber-physical systems (CPSs) in the industrial Internet of Things (IoT) have attracted much research interest. In the meantime, applying human–machine identity authentication mechanism to the CPSs has been considered as a promising solution for secure and privacy-enhancing authenti...

Sentiment analysis of people’s opinions finds widespread application in numerous business and decision-making situations. Despite social media’s informal nature for sharing viewpoints, it has now become a prevalent tool in various business and decision-making contexts. Sentiment analysis, also known as opinion mining, encompasses the utilization of...

With the convergence of telemedicine and electronic health (e-health) services, Consumer Internet of Things (CIoT) enabled smart healthcare has attracted much attention from researchers. Telemedicine and e-health care can help to eliminate geographical barriers and provide high-quality medicine services. Whereas, deterministic low-latency communica...

This paper introduces an innovative approach for automated polyp segmentation in colonoscopy images, deploying an enhanced Pix2Pix Generative Adversarial Network (GAN) equipped with an integrated attention mechanism in the discriminator. Addressing prevalent challenges in conventional segmentation methods, such as variable polyp appearances, incons...

This paper introduces a novel approach GPTFX, an AI-based mental detection with GPT frameworks. This approach leverages GPT embeddings and the fine-tuning of GPT-3. This approach exhibits superior performance in both classifying mental health disorders and generating explanations with accuracy of around 87% in classification and Rouge-L of around 0...

This editorial summarizes the content of the collection on Multimodality, Multidimensional Representation, and Multimedia Quality Assessment Toward Information Quality in Social Web of Things for the Journal of Data and Information Quality.

Device to device (D2D) is becoming one of the critic technologies of green smart cities. The uplink power allocation is investigated, when D2D users reuse subchannels of cellular users. The overall goal lies in minimization of energy consumption under guarantee of required data transmission rate, which belongs to a nondeterministic polynomial (NP)...

People's health is adversely affected by environmental changes and poor nutritional habits, emphasizing the importance of health awareness. The healthcare system encounters significant challenges, including data insufficiency, threats, errors, and delays. To address these issues and advance medical care, we propose a secure healthcare prediction me...

The current advances in wearable sensors show the shining future of socially implemented Internet-of-Medical-Things (IoMT) devices (e.g., smartwatches). However, the recent machine learning approaches cannot be applied well in these devices, because almost all the processing in the IoMT devices is now being performed in classic forms (mainly as cen...

Multi-access edge computing network (MEC), as one of the key infrastructures of IoT, provides cloud computing capabilities at the edge of radio access network (RAN) by integrating telecommunication and IT services. Integrating blockchain into the MEC network can provide users with secure, private, and traceable edge computing services at the near e...

Accurate traffic flow forecasting is crucial to improving traffic safety and alleviating road congestion for intelligent transportation network management. Recently, spatial-temporal graph-based deep learning methods have achieving significant performance improvements in traffic flow forecasting. However, they only consider spatial-temporal correla...

Cyber-security intelligence have made a great impact over healthcare industry where several researchers are developing new techniques to improve security for healthcare systems. Besides, Artificial Intelligence (AI) become the tremendous technology in recent decades to improve the existing methods to be more intelligent. In this paper, we proposed...

Image preprocessing is a method to transform raw image data into clean image data. The objective of preprocessing is to improve the image data by suppressing undesired distortions. Enhancement of some image features which are relevant for further processing of image and analysis task is also done in preprocessing. Screening and diagnosis of various...

Data-driven ontology-based knowledge (OK) presentation and computational linguistics for evolving semantic Asian social networks (ASNs) can make one of the most important platforms that provide robust and real-time data mapping in massive access across the heterogeneous big data sources in the web that is named OK-ASN. It benefits from computationa...

Real-time digital twin technology can enhance traffic safety of intelligent vehicular system and provide scientific strategies for intelligent traffic management. At the same time, real-time digital twin depends on strong computation from vehicle side to cloud side. Aiming at the problem of delay caused by the dual dependency of timing and data bet...

Theme: Transportation accidents and traffic congestion issues are among the biggest today challenges due to presence of a large number of vehicles manufactured worldwide. The following problems faced by the road transport like inadequate road networks, highly congested cities roads, difficulties of pedestrians, unmetalled roads, poor bridges condit...

The current invention Novel IoT Based Digital Cold Shaking Incubator has a compact design with a PID controller, forced convection circulation, Stainless steel internal material ,audio and visual alarm for over-temperature with optional accessories: UV lamp, humidity controller, inlet air pipe and light system that saves precious lab space. This in...

Cyber-physical systems (CPS) offer integrated resolutions for various applications by combining computer and physical components and enabling individual machines to work together for much more excellent benefits. The ad hoc based CPS provides a promising architecture due to its decentralized nature and destructive-resistance. A growing number of in...

IoT is used in healthcare to monitor patients via wearable sensors to measure different physiological information. This collected information can be stored, processed, and made available to doctors to give a consultation at any time, which improves the efficiency of the traditional medical systems. Secure data collection and transfer to centralized...

#cfp Cyber-Physical #security for #iot Systems Abstract submission deadline 30 June 2023 https://www.mdpi.com/topics/ZJUOQ8OK1S #editors Keping Yu Chinmay C

This study introduces a blockchain-based lightweight encryption strategy with federated learning to address the scalability and trust concerns of electronic health records (EHR). After implementing lightweight encryption, the EHR data is stored in a decentralized cloud system. The importance of protecting the privacy and security of distant patient...

Urban sensing is a rapidly growing field that involves gathering real-time data from urban environments. These smart sensing systems are pivotal in enhancing urban planning, resource management, and overall quality of life in cities. However, in the context of data collection and network congestion, non-negligible latency can be experienced in urba...

The profound era of cloud computing (CC) is revolutionizing Industry 5.0in which users have online access to network services including better, transparent user management and the capacity to gather and analyze data. The services of the cloud paradigm have been adopted by academia, industries, healthcare, smart homes, and other areas due to cost-ef...

The papers in this special section focus on artificial intelligence Internet of Things for medical things (AIoMT), with particular emphasis on medical sensors for remote patient monitoring and body area interfacing. Examines issues involving design and implementation, practice use, measurements, and patient monitoring.

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...

The Industrial Internet of Things (IIoT) is the essential component of Industry 4.0. Blockchain is a promising technology for secure data sharing and trustable cooperation between IIoT devices. However, the ever-growing transaction records make it difficult for the storage-limited IIoT devices to join the blockchain network. In this article, an ada...

The dreaded coronavirus (COVID-19) disease traceable to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) has killed thousands of people worldwide, and the World Health Organization (WHO) has proclaimed the viral respiratory disease a human pandemic. The adverse flare of COVID-19 and its variants has triggered collaborative research inter...

They proposed a Human Disposition Analysis method during COVID-19 using machine learning (HuDA_COVID), where factors such as age, employment, addiction, stress level are studied for human disposition analysis. A mass survey is conducted on individuals of various age groups, regions & professions, and the methodology achieved varied accuracy ranges...

The present invention relates to a field of developing unified convolutional neural network. More particularly, the present invention relates to a system for developing unified convolutional neural network module for intelligent decision making in navigation.

As the technology era progresses, many opportunities are brought to the healthcare industry. With the support of technology and Internet of Things platforms, e-healthcare is now more common than ever. However, the sensitive nature of healthcare records makes them vulnerable to many attacks. Therefore, a privacy-enabled framework for cloud-based e-h...