SN Computer Science

This paper investigates the role of hidden dynamics in influencing the stability of sliding solutions within control-switched systems. By employing cell-mapping methods, we provide numerical evidence that incorporating hidden dynamics on the ...

The holistic and systematic comprehension of service well-being is garnering increasing attention among scholars. The holistic understanding of Service well-being is significant since it helps to clarify the multi-actor and multi-level nature of ...

This paper presents a concise methodology for the detection of partially reduplicated Multi-Word Expressions (MWEs) in Bengali texts. The entire process of identifying such reduplicated forms is carried out in two distinct phases, each ...

Crowdfunding (CF) has grown in popularity over the last decade, as has research in the field. The existing literature on CF has identified various elements of a CF campaign as factors influencing the funding outcome. However, the viewpoint of the ...

In semiconductor manufacturing, the wafer surface defect detection system is the key role in controlling production quality and efficiency. Recently, computer vision, big data and artificial intelligence contribute to develop the wafer surface ...

Quantum annealing has been applied to combinatorial optimization problems in recent years. In this paper we study the possibility to use quantum annealing for solving the combinatorial FIFO Stack-Up problem, where bins have to be stacked-up from a ...

Santhali is one of the popular local languages and mainly spoken in the ruler areas of Jharkhand, Odisha, and West Bengal in Bharat. Santhali language is area specific language that is popular mainly among the tribe population. Hence, the ...

Alzheimer's disease (AD), is the most common form of dementia that affects the nervous system. In the past few years, non-invasive early AD diagnosis has become more popular as a way to improve patient care and treatment results. Imaging methods, ...

The rapid proliferation of internet usage has led to an exponential increase in cyber threats, particularly malicious websites that can compromise user data and system integrity. Traditional methods of web security are increasingly becoming ...

The COVID-19 pandemic has strained global healthcare systems, highlighting the need for efficient screening tools for timely SARS-CoV-2 detection and management. This research presents a novel approach using machine learning and Explainable AI (...

This paper explores the crucial relationship between soil quality and agricultural productivity, emphasizing the pivotal role of soil in sustaining human life. Focusing on the agricultural heritage of Kolar District, Karnataka, India, and its ...

This study explores the worldwide effects of lung cancer and its early detection and diagnosis. Artificial intelligence (AI)-based models are quite popular among researchers in this field for early detection of lung cancer. Histopathology images ...

Computer vision techniques have advanced greatly in recent years through deep learning, achieving unprecedented performance. This has motivated applying deep learning to malware detection through image-based approaches to circumvent extensive ...

Technology is an integral part of society and has undergone significant evolution across various domains, such as production and recreation, leading to the emergence of heterogeneous systems. These diverse systems often need to communicate and ...

This work addresses the challenge of video violence detection in data-scarce scenarios, focusing on bridging the domain gap that often hinders the performance of deep learning models when applied to unseen domains. We present a novel unsupervised ...

“Deforestation” refers to the systematic removal of trees from forests to facilitate significant human activities. Expansion of agriculture, infrastructure and logging are the main causes of deforestation. Deforestation causes greenhouse gas ...

With the rapid development of the internet in the past decade, it has become increasingly important to extract valuable information from vast resources efficiently, which is crucial for establishing a comprehensive digital ecosystem, particularly ...

Testing is an important activity to detect faults before software deployment. We focus on black-box combinatorial testing, where fault detection is one of the main objectives. In this paper, we argue that input model abstraction notably impacts ...

Existing methods for detecting and classifying pests, diseases, and nutrient deficiencies in paddy crops often suffer from several significant limitations. Primarily, these methods typically focus on detecting only one of these issues at a time, ...

With the rapid adoption of technological advancements (e.g., artificial intelligence or AI) and changes within higher education, the (un)employment (herein referring to utilizing or firing AI as an educational employee) of AI will change and ...

This study introduces a novel approach to enhance e-business firms by identifying potential risks through the analysis of customers’ Twitter posts. Unlike traditional lexicon-based methods, which can be complex, we propose using machine learning ...

A circular shift operator (or cyclic rotation gate) ${\mathtt{ROT}}_k$ applies a rightward (or leftward) shift to an input register of n qubits o by as many positions as encoded by an additional input $k\in \mathbb{N}$. Specifically, the qubit at position x is moved to ...$$$\mathcal{}$$\mathtt{}$$\mathtt{}$$\mathtt{}$$\mathcal{}$$\mathcal{}{}^{\mathrm{}}$

Recent advances of Internet of Things (IoT) lead to the most promising paradigm called Social Internet of Things (SIoT). These techniques are considered the strong amalgamation of the social networking features with the IoT objects. These networks ...

Extensive research has explored the use of unmanned aerial vehicles for disaster relief, focusing on surveillance, search-and-rescue, and product delivery. However, many studies overlook the scale and urgency of disasters, often assuming a fixed ...

Computed Tomography (CT) Imaging is frequently used to find liver cancer. CT imaging of the liver generates cross-sectional images of the abdominal region. The task of segmenting a liver tumor on CT images is tedious due to the anatomic complexity ...

SDN is a new networking method that uses software controllers and physical infrastructure to guide network traffic. Due to its larger size, the network often experiences severe traffic congestion; load balancers improve network efficiency. ...

This paper presents a comprehensive study of different control techniques to improve the power quality in Microgrids. Microgrid promote the integration of renewable energy, Integration of microgrid to the main grid and operating it in the islanded ...

Soil erosion occurs when natural or man-made agents tear away the top layer of the soil, making it extremely difficult to grow vegetation on the site. Wind and water (the two main causes of erosion) easily wash away soil if it is bare. Agriculture ...

The healthcare industry has integrated Internet of Things (IoT) and Blockchain technologies extensively, with remote patient monitoring (RPM) being one such domain. The rapid advancement of wearable IoT medical devices has enabled the real-time ...

Sybil attacks are treacherous attacks on the reputation mechanism of a network. In our current work, we propose a game theory-based defense mechanism against such attacks. The proposed scheme is decentralized, distributed, and dynamic, unlike the ...