Hazardous air pollutants (HAPs) can be a critical risk to the sustainability of the environment and human health, which must be addressed by highly sophisticated predictive models to eliminate risks successfully. In this study, the researcher presents a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with the ability t...

By K. Muralisankar, G. Balaji, C. Ramkumar, M. Vasuki, S. Vijayananthan, D. Angayarkanni, Mohammed Aslam, M. Narmatha

One of the major issues in the agricultural industry is cocoa quality determination that may be based on subjective sensory assessment techniques that may cause inconsistency and losses after harvesting. The following research will solve the set of issues by taking the Mumford-Shah functional algorithm with the image segmentation, to evaluate the q...

By Eduardo Arturo Guillen Bazan, Pablo Cesar Medrano Nina, Neicer Campos Vasquez

This paper examines the distribution of maximum precipitation of the Supe basin at the return periods of 10, 100, 1000, and 10,000 years using Weibull technique to estimate return time. They compare PISCOp v2.1 and RAIN4PE which are two gridded rain products to evaluate their predictability in terms of extreme precipitation occurrences. These gridd...

By Rengifo-Arevalo Jhon Filips, Agramonte-Monge Henry Fabian, Campos-Vasquez Neicer, Carmona-Arteaga Abel

The enterprises, which are science and technology-based (STBEs), work in a highly dynamic and knowledge-intensive environment where long-lasting competitiveness is determined by the success in matching innovation and marketing potential. Although these capabilities have been studied separately in previous research, a noticeable lack of empirical re...

By Najmitdinov Akhadkhon Khamitdkhanovich, Sardorbek Isroilov, Ibragimov Ulmas Rakhmanovich, Gofurjanov Ibrokhimjon Ilkhomjon Ugli, Tokhir Khorilov Gaybiddinovich

Influential node detection in networks is vital in diverse applications, particularly with the online social networks (OSNs). Measures of centrality, traditional ones, fail to sufficiently describe the influence of nodes on complex and multilayered networks. This paper presents a novel hybrid method that combines traditional topological centrality ...

By CS. Saradha

In nature, the bucking behavior of the web of I section reduces the member's strength considerably. Hence, in common practice, people use the intermediate and end stiffeners to improve the strength of the beam. The stiffeners are connected to the web using the welded connections. In this paper, the experimental study on steel beams with and without...

By S. Kalaiselvi, R. Santhosh Kumar

To reduce road traffic accidents, it is mandatory to identify and analyze road network blackspots with a high accident rate. This analysis aims to develop a framework to analyze the severity of blackspots for travelers using the Python programming language. The proposed study uses accident data to identify the black spots. Python programming ...

By Nishant Singh, Sunil Kumar Katiyar

The third most prevalent form of cancer globally in both men and women is colon cancer which affects the digestive tract and occurs in the human body's greater intestine develops from certain polyps are tiisues that grow inside the colon of various sizes which at later stage can develop into a cancer cell. The tissues are taken from colon using bio...

By B. Senthil Kumar, S. Karpagavalli, K. Keerthana, A. Krishnaja

The article explains the interrelation of stratigraphy to mineralogy for geological history. Stratigraphy is the study of the layering of rocks and it deals with chronology, very important in understanding the past environments of the Earth. Mineralogy is the study of minerals and their properties and is able to give insight into the conditions und...

By Orzikul Khakimov, Olim Ortiqov, Nazira Ramazanova, Botir Okbutaev, Oliya Mukhammadieva, Uktam Abdinazarov, Abdumalik Khamidov, Khuriyat Khudoymurodova

An immense need has emerged in several areas of biological area for the development of prediction algorithms capable of managing the increasing complexity of high-dimensional information. In developing countries, Cervical Cancer (CC) kills more women than any other disease or accident, and it's the top cause of death among women worldwide. Early de...

By S. Nandhinieswari, A. Indumathi