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Piyush PareekEast West Institute of Technology | EWIT · Computer Science
Piyush Pareek
Doctor of Philosophy
About
138
Publications
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Introduction
Skills and Expertise
Publications
Publications (138)
The fourth phase of the Industrial Revolution - Industry 4.0 - has ameliorated how companies “think and act” today. The focus has now shifted towards fostering faster and smarter processes, leading to sustainable productivity. The three driving forces for Industry 4.0, according to Henrik von Scheel (Father of Industry 4.0), are value, people and c...
Video analytics can achieve increased speed and efficiency by operating directly on the compressed video format, thereby alleviating the decoding burden on the analytics server. The encoded video streams are rich in semantic binary information and this information can be utilized more efficiently to train the classifiers. Motivated by the same noti...
A rapid developing area of study in the healthcare industry is medical imaging. Medical imaging is crucial for the early identification, diagnosis, and treatment of disorders. Ultrasound, magnetic resonance, computed tomography, X-rays, and other imaging techniques fall under this category. Dental caries is one of the most common conditions affecti...
Online comments can often be toxic, offensive, and harmful to individuals and communities. In recent years, there has been a growing need to automatically identify and mitigate these toxic comments. For this problem, NLP models are often used to identify such toxicity and harshness but each model has its own efficiency and performance limitations....
This research introduces an algorithmic framework for enhancing the security of Internet of Things (IoT) networks. The Enhanced Anomaly Detection (EAD) algorithm initiates the process by detecting anomalies in real-time IoT data, serving as the foundational layer. The Behavior Analysis for Profiling (BAP) algorithm builds upon EAD, adding behavior...
The Breast cancer is the a type of a carcinogenic cells that is developed in the breast and is more commonly found in women. This type of cancer has been found more fatal amongst women after the lung cancer. The paper proposes a study where it helps in identifying the breast cancer at faster rate using Convolution Neural Network (CNN). The paper us...
For the purpose of identifying the felt emotions and intentions behind multimodal data, multimodal sentiment investigation seeks to semantic info acquired across different modalities. The primary focus of this field of study is the design of a novel fusion system that can efficiently and effectively aggregate data from several sources. However, the...
Fake currency is a serious problem in India, and detecting it is crucial to maintain the integrity of the country's currency. There are various software programs available in India for detecting fake currency. These software programs use image processing techniques to analyze images of currency notes and identify any irregularities that indicate co...
Computer Vision is one of the branches of computer science. It will detect and understand the images and scenes. This work suggests a real-time, immediate motion tracking system for devices that follows an object's attitude in space as represented by its 3D bounding box. Computer Vision includes different features such as image recognition, image p...
Abstract—The cloud computing paradigm is quickly
developing to meet the requirements of new (IoT) and
computing. As a consequence, there has been a dramatic
increase in the need for cloud services due to the popularity of
IoT-based requests. To successfully meet application objectives
while efficiently utilising computing capacity, intelligent...
Nanomaterials are finding increasingly diverse medical uses as technology advances. Researchers are constantly being introduced to new and improved methods, and these applications see widespread use for both diagnostic and therapeutic purposes. Early disease detection, efficient drug delivery, cosmetics and health care products, biosensors, miniatu...
A succession of improvements in image processing have been aided by deep learning. There were considerable advancements in the use of deep learning techniques to food image categorization. However, just a few studies on the classification of food ingredients have been conducted. As a result, this study provides a new method that not only extracts r...
Social media platforms offer undeniable benefits, but the preservation of anonymity has led to the emergence of cyberbullying, a concerning social problem. This form of online harassment creates a negative and hostile environment, resulting in decreased user engagement and psychological harm to victims. According to ResearchGate and ScienceDaily, c...
Content created by users from social media platforms has become increasingly important as the internet has grown, and it now contains a plethora of knowledge regarding medications, diagnostics, treatments, and illnesses. Customers' opinions regarding previously used medicines are contained in the data in the form of comments, which can be used to d...
Background:
Understanding complex systems is made easier with the tools provided by the theory of nonlinear dynamic systems. It provides novel ideas, algorithms, and techniques for signal processing, analysis, and classification. Presently, these ideas are being applied to the investigation of how physiological signals evolve.
Objective:
The stu...
The field of electroencephalography (EEG) has made significant contributions to our understanding of the brain, our understanding of neurological diseases, and our ability to treat such diseases. Epileptic seizures, strokes, and even death can all be detected with the use of the electroencephalogram, a diagnostic technique used to record electrical...
One of the networking technologies is called a wireless sensor network, and what it does is link sensor nodes by using wireless communication as the channel of connection. A haphazard and random distribution of nodes is carried out throughout the deployment process within the network area. As a result, the distances between the nodes do not remain...
Every one in seven people face fertility issues in India due to surge in stress levels and changes in lifestyle, IVF (In Vitro Fertilization) comes as boon [1]. Artificial Intelligence methods increase the performance of assisted reproductive technology (ART) over past decade. Manual approaches in grading embryos are prone to human errors and show...
An accident is the cry of a lifetime. The role of traffic signs is most important in preventing or mitigating accidents. In many cases, while driving, traffic signs are not visible in the conventional approach; if traffic sign detection and recognition can alert the driver of important sign guidance ahead, it will help in accident mitigation. Traff...
EEG signals are recordings of electrical activity in the brain, and they can be used to detect epileptic seizures. Cross-spectral analysis involves analyzing the spectral coherence between different frequency bands in EEG signals. Cross-spectral seizure detection is a technique used to detect seizures in electroencephalography (EEG) signals by anal...
In wireless sensor networks (WSNs), the data must reach a processing node with less energy consumption and delay rate. However, with the specific consideration of the unique properties of sensor networks such as limited power, stringent bandwidth, dynamic topology due to node failures, adding/removing nodes, or even physical mobility, high network...