All of the articles in this proceedings volume have been presented at the International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023) during 22nd & 23rd September 2023 in Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNRVJIET),...

Anomaly detection by tracking if the context of a video stream has changed could be useful, but supervised training to classify video context can be cumbersome and error prone. Instead, we apply a cascade of clustering techniques that operate on a weakly supervised video data lake to extract a context...

Due to widespread development of COVID, there are health concerns across the world. The vaccinations are created as a result. Myocarditis and pericarditis are a couple of the adverse effects connected to COVID-19 immunizations, particularly the Pfizer-BioNTech and Moderna vaccines. As a result, it is...

Medical image segmentation is critical in advancing healthcare systems, notably disease finding and medication scheduling. Because of its simplicity and efficacy, fuzzy c-means-based clustering emerged as an efficient algorithm for lesion extraction. The downsides of FCM include its sensitivity to beginning...

This study focuses on identifying preferential techniques for multi-classification of natural language when dealing with multiple dialects. This research investigates dialects in Trinidad and Tobago and addresses the challenges associated with analyzing and classifying such linguistically diverse data....

The recognition of 3D objects that are represented as point cloud has become a very vital topic for research in the field of Computer Science. The processing of 3D point clouds has procured a lot of attention from researchers in the modern era. However, as point clouds have a complex representation,...

Machine learning (ML) algorithms are an essential component of intelligent energy management systems. In the year 2021, a benchmark dataset of the power consumption of Tetouan city was published to train an ML algorithm for accurate energy demand prediction. However, parametric and empirical investigations...

Robot grasp detection, commonly performed using Deep Neural Networks (DNNs), has proven to be a memory and power-intensive task that is required in resource-constrained environments. This paper proposes the use of And-Or-Grammar Networks (AOGNets) to reduce the constraints on embedded platforms. The...

The National Education Policy emphasizes the importance of providing joyful, holistic, and engaging education in schools. According to research, it is possible to teach children how to develop positive emotions, wellbeing, and engagement in their school experience. The goal is to promote happiness among...

The reliable detection of faults in rail systems plays a crucial role in ensuring safe and efficient transportation. In recent years, artificial intelligence (AI) techniques, particularly neural networks, have shown promising results in fault detection applications. However, the selection of input parameters...

Wearable gadgets are technological devices with limited computational power that can be worn by users, providing them with information and seamless access to their master devices. It allows gadgets to connect and exchange data, enabling various tasks to be completed online. Wearables have revolutionized...

Amidst escalating data growth, effective classification in diverse domains, including the news industry, is imperative. However, relying solely on human intervention for classification is unfeasible. Addressing the complexities of the Telugu language and leveraging Natural Language Processing (NLP),...

Utilizing machine learning calculations, this study plans to foresee ongoing kidney illness. A condition wherein the kidneys cannot dispose of poisons from the body is known as persistent kidney sickness. It is conceivably the deadliest disorder, and a wrong finding can achieve mortality. Chronic kidney...

Mild Cognitive Impairment (MCI) is a prodromal stage of dementia, is often native with very high risk of evolving into Alzheimer’s disease. Early detection and accurate classification of MCI can significantly aid in timely intervention and personalized treatment planning. In the study conducted, we put...

This research paper investigates the transformational potential of Polkadot-based NFT (Non-Fungible Token) marketplaces in transforming digital ownership. NFTs have evolved as distinct digital assets on blockchain networks, reflecting ownership of different materials such as art, music, and collectibles....

Cervical cancer constitutes a significant public health concern and early diagnosis plays an important role in the patient’s recovery. In this study, we investigated the utilization of various algorithms in machine learning to predict cancer with best accuracy. The objective of the paper is to identify...

A cloud data center empowers organizations to improve their performance, scalability and security by providing tools to store data and the infrastructure required to run applications. Its main objective is to provide high service reliability and service availability. But the lack of proper hardware and...

This exploration centers around constant perception of items in a given setting, which prompts a rundown of the ways of behaving or connections of the things. Because of the absence of time for robotized checking and examination, an administrator should watch a lot of video information in time with complete...

In the realm of wireless communication, Vehicular Ad Hoc Networks (VANETs) confront security vulnerabilities, necessitating the adoption of an encryption method that ensures efficient and secure communication. VANETs typically rely on the group key agreement model for security, but this approach proves...

Compared to traditional computing methods, quantum computing’s performance is a direct result of its foundation in quantum theory. It’s a real benefit to academia and will cut computing times in half, from years to hours or minutes. Thus, quantum computers represent a significant risk to encryption because...

Use of Technology in agriculture and marketing of agricultural products is essential in sustainable and quality production. Some of the usage areas of these technologies are quality control and classification of grains. To optimize the rice production and processing industry, ensuring best product quality...

The pH analysis of cervical mucous plays a significant role in providing valuable health insights for women. Accurate measurement of this pH metric is crucial for effective tracking and monitoring of reproductive health. However, current methodologies often present challenges in terms of confusion in...

Electronic Commerce or E-commerce is the buying or selling of goods online, over the internet. Nowadays, people are spending most of their daily life online. A business of any scale, be it a start-up or a well-grown company, can benefit from E-commerce. It helps them reach a broader consumer base and...

Transmission of biomedical images over long distance is very important for various applications like telemedicine and distant consultation with health experts. Many of these images carry confidential information and need to be highly secured before transmission. For the purpose of secured transmission,...

Information security is facing a significant issue due to the proliferation of malware programs. Malware analysis refers to the process of interpreting malicious software to determine its functionality and intent and assist in detection. Conventional methods, which rely on both static and dynamic analyses...

It is highly desirable to perform the clustering for large datasets more efficiently by finding the approximate clustering results in a reduced time. PFCM, PKFCM-F, and PKFCM-K are recent attempts to improve the efficiency of the traditional FCM, KFCM-F, and KFCM-K algorithms using fuzzy prototypes....

This research paper explores the classification of knee osteoarthritis (OA) severity levels using advanced computer vision models and augmentation techniques. The study investigates the effectiveness of data preprocessing, including Contrast-Limited Adaptive Histogram Equalization (CLAHE), and data augmentation...

This paper presents academic-success, a machine learning predictor system designed to forecast student dropout rates or academic success and offer tailored interventions and support. The work encompasses the design of a predictive model and the provision of resources to integrate the model into existing...

Image resizing is a common technique used in image editing and processing to reduce or increase the image’s dimensions. The naive approaches, such as cropping or scaling, may result in image distortion or data loss. A more sophisticated method is content-aware image resizing, which employs algorithms...

Ayurvedic plants, which contain active compounds are used to treat various health conditions. On the other hand, edible plants contain essential nutrients that are required for our body’s proper functioning and can aid in preventing chronic diseases like diabetes, heart disease, and cancer. Numerous...

Snake-like robots, with their complex and multi-jointed structure, hold great potential for navigating complex environments. However, real-time manipulation of their movements can be challenging. As such, achieving autonomous mobility for these robots is a major area of research. This paper introduces...

The Stock value forecast is a significant issue to determine the future direction of the financial Markets. Many research works are carried out and design many techniques to predict stock price of Individual stocks. But, the forecast precision of the regular methods was lower when taking the enormous...

The massive amount of data produced from Video content, has speedily grown up with surveillance data. Human beings can easily handle this data by greatly outperforming the capacity of technical and non-technical resources. In the current era of computer vision great characteristics like precision, effectiveness...

The picture of the IOT which forms interconnection between several gadgets through the internet. ZigBee is one of the emerging Internet of Things standards. Wireless communication occurs between XBee devices, which function as radio frequency (RF) devices. Both devices must be connected to the same network...

Image captioning, also defined as describing the image, has consistently sparked the curiosity of expert system researchers and accurate description of an image has been a significant task. Image caption generator involves describing the characteristics, attributes of the image. It has a plenty of applications...

Electroencephalogram (EEG) signals from patients can be analyzed to identify the neurological condition known as epileptic seizures. Because to the large dimensionality of the data and the existence of noise and artifacts, detecting epileptic seizures from EEG signals is a complicated process. In this...