All of the articles in this proceedings volume have been presented at the SIPCOV 2023 during 30-31 March 2023 in Silchar, Assam, India. These articles have been peer reviewed by the members of the Technical Program Committee (TPC) and approved by the Editor-in-Chief, who affirms that this document is...

Image quality enhancement via impulse noise reduction is a critical phase in image preprocessing. Faults in the acquisition, storage, and transmission devices often corrupt the images by introducing noise that further hinders image analysis and processing tasks. This paper focuses on high-density salt...

Mental stress majorly influences the development of various illnesses, like heart attack and stroke. Additionally, it is one of the elements that might lead to the onset of psychiatric conditions like bipolar disorder, schizophrenia, anxiety, and depression. Thus, quantification of stress is important...

In the real world, data is perceived in three dimensions (3D). Automatically analysing 3D visual features is essential in several real-time applications notably autonomous robots, autonomous vehicles, and augmented reality. It is apparent that 3D data are represented in a variety of ways, such as a polygonal...

One of the most employed yet simple algorithm for cluster analysis is the k-means algorithm. k-means has successfully witnessed its use in artificial intelligence, market segmentation, fraud detection, data mining, psychology, etc., only to name a few. The k-means algorithm, however, does not always...

Recent developments in artificial intelligence have enabled the world to detect objects, learn their surroundings, and forecast the next sequences. The cost of surveillance systems is reduced as a result of the development of embedded technology. The surroundings are being captured by the surveillance...

This paper presents a simple number theoretic method for creating digital concentric and circular objects like potteries based on some effective digital geometric approaches. This paper introduces a novel algorithm to create digital 3D surface using certain simple but efficient digital geometric techniques....

Stroke is a quick loss of brain activity due to the disruption in the blood supply system. Among stroke survivors, losing hand function and finger spasticity are the main ailment. The purpose of this study is to investigate the electromyography (EMG) features in time domain and frequency domain during...

This paper presents an analytical study on the watermark specific embedding in the hybrid digital watermarking framework. Watermark is inserted in the modifications of singular values of SVD domain. To maximize the image imperceptibility and robustness of extraction with adequate security, three important...

In the Modern world the most important thing existing is privacy and security. Due to lack of security, people face lot of problems. In an organization it is necessary to maintain complete security from external entities. By using face recognition, the people can be authenticated, categorized and further...

Brain tumors are a severe medical disease that can have serious consequences in terms of morbidity and death. For efficient therapy and improved patient results, early identification of brain tumors is essential. MRI scans allow us to find brain tumors. The doctor will be able to see the abnormal growth...

This paper presents a free-hand gesture-based human computer interfacing system for developing a learning aid tool in a virtual reality environment. A device known as the leap motion controller, which tracks hand movements optically, is used for hand interaction. Various virtual objects are created using...

Facial recognition is a complex problem that has received a great deal of attention due to its numerous applications, including security, surveillance, and identification. In this study, we provide a novel method that combines the strength of the Extreme Learning Machine (ELM) algorithm with the ResNet50...

One of the main factors causing illness epidemics, particularly in developing nations, has historically been overfilled dumpsters. Since the idea of Internet of Things (IoT) technology has come to pass, the area of medical research—along with its new technologies—is developing quickly. By controlling...

Testing for COVID is necessary for the battle against the pandemic, especially considering the most recent outbreak. Testing for COVID is carried out in enclosures that provide a safe setting for the operation. Due to the enormous number of samples brought in for testing, this is a time-consuming process...

The human body is an intricate framework coordinated at different levels, cells, tissues, and organs that contribute to 11 major organ frameworks. The functioning of such a complicated system in the proper manner is assessed as healthy. Conventional medicine cannot meet everyone’s needs due to population...

Human action recognition is a critical aspect of computer vision research and has various practical applications. In this paper, we focus on a specific type of action recognition, yoga pose recognition, and propose a computer vision-based model using deep learning. Our proposed model is a hybrid of Convolutional...

The detection of tumors is the most difficult aspect of quantitative brain tumor evaluation. Magnetic Resonance Imaging (MRI) has gained popularity in recent years due to its non-invasive and powerful soft tissue contrast. MRI is a frequent imaging method used to detect brain cancers. The MRI produces...

A crucial stage in the categorization of brain tumors for medical diagnosis and treatment. Magnetic resonance imaging (MRI) is routinely used to distinguish brain tumors; however, manual interpretation of the MRI data is arbitrary and time-consuming. In this work, we used transfer learning and the ResNet50...

Ingredients play a very crucial role in any dish, as they determine the flavor, taste, and texture of the dish, and they can impact the nutritional value of the dish. as if a dish includes many high-quality ingredients and protein sources that can provide necessary nutrients, vitamins, and minerals for...

Lung cancer is the most common and dangerous cancer worldwide. An automatic detection system is the need of the hour for early diagnosis. Machine learning classifiers often encounter outliers in the extracted features. Motivated by this, the main aim of this study is to develop an outlier free automated...

Currently the application of artificial intelligence for nanorobotics gains significant attention worldwide. The effective convergence of this technique helps in earlier diagnosis and treatment of various harmful diseases. Deep vein thrombosis also called as blood clot is a serious healthcare concern...

In the modern world, diabetes is a very scary problem. It is a long-term condition that can lead to a number of health problems. It is a grouping of illnesses that cause blood sugar to be too high. Machine learning is being used more and more in the field of health care because of how quickly it is improving....

This research paper proposes a novel approach for minimizing makespan and energy consumption in workflow scheduling for cloud computing systems using particle swarm optimization (PSO). Workflow scheduling is a critical task in cloud computing, where multiple tasks are assigned to each available virtual...

Vehicular ad-hoc networks (VANETs) are extensively utilized for intelligent mobility and roadside advertising. In VANETs, vehicles equipped with wireless sensors function as mobile nodes capable of communication in both infrastructure and ad-hoc modes. Clustering vehicles within VANETs enhances resource...

The performance of next-generation wireless systems (5G/6G and beyond) at the physical layer is primarily driven by the choice of digital modulation techniques that are bandwidth and power-efficient, while maintaining high data rates. Achievable rates for Gaussian input and some finite constellations...

This paper presents a single-element antenna designed using a jute substrate material. Measured dielectric parameters of the jute material are considered to design the antenna. The shape of the antenna element is considered circular. A circular-shaped defective structure is introduced at the upper portion...

Over the past few decades, the need for wireless connectivity has increased dramatically. A new Wireless Technology known as 6th generation system developed with full AI support is expected to use between 2027 and 2030. Higher system capacity, much higher data rate, much lower latency, higher security,...

As the blockchain architectures and communities grow, blockchain networks frequently face scenarios where the user must vote to make decisions. However, a natively implemented voting system on current blockchain systems is useless. The decision-making process is then either assigned to many network members...

The hybrid TLPD-ALB scheduling algorithm is a commonly used approach in cloud computing, but it fails to meet the multi-objective requirements for effective load balancing. Although its primary aim is to distribute tasks among available resources and minimize relative imbalance, it is insufficient to...

Sensor nodes (SN) have limited capabilities of coverage and connectivity. Relay nodes ensure backbone connectivity between SNs and base station (BS). Proper placement of relay nodes (RNs) has a major role in ensuring maximum coverage and connectivity in cluster-based wireless sensor networks (WSNs)....

Air Pollution has surged due to decades of swift industrialization and urbanization. With a majority of today’s population spending most of their time indoors and the architecture of buildings made secluded from the outside environment, the importance of adequate indoor environment conditions has become...

The pivotal focus of this study is to analyse solar tracing, a technique that uses global positioning system (GPS) technology to locate the sun’s potentially hazardous scene and boost the power production of a PV panel. Using the encoded information, the microcontroller’s navigation module can make an...

The use of deep learning models, especially Convolutional Neural Networks and Gated Recurrent Units, has been a popular approach to improve the performance of handwriting recognition (HTR) algorithms In this research, perzival dataset is used it evaluates the performance of the HTR system incorporating...

In this work a new adaptive Gaussian notch filter (AGNF) with curvelet transform is proposed for removing noises from Magnetic Resonance Images. MRI images corrupted by periodic noises which are occurred because of interferences during image capturing. In general, the interferences occur due to electric...

This paper presents the design and simulation of a multiband metamaterial absorber. This Meta material absorber covers the 6 to 16 GHz frequency band. The size of the unit cell and other geometrical dimensions such as the radius and width of the rings are optimized so that the absorptions occur at three...

Now a days, Image compression schemes and water marking is widely performed in signal processing with the help of wavelet transform. In comparison with approaches based on DCT and wavelet-based watermarking in some cases wavelet based Watermarking schemes are used better. In the literatures hardware...