https://journals.threws.com/index.php/IJSDCSE <div id="journalDescription"> <p><strong>IJSDCSE</strong> publishes significant and original work in areas of computer science and engineering that are related to or dependent upon the computer.</p> <div> <p>International Journal of Sustainable Development in Computer Science Engineering</p> <p><strong>Scope:</strong></p> <p>The International Journal of Sustainable Development in Computer Science Engineering (IJSDCSE) is a scholarly, peer-reviewed journal dedicated to advancing research in computer science and engineering while addressing and promoting sustainability and environmental responsibility. This interdisciplinary journal provides a platform for researchers, academics, professionals, and practitioners to share their knowledge and expertise in areas where computer science engineering intersects with sustainability.</p> <p><strong>Focus Areas:</strong></p> <p>The IJSDCSE welcomes research papers, reviews, and articles that contribute to the understanding and advancement of sustainable practices in computer science engineering. Key focus areas include, but are not limited to:</p> <ol> <li> <p><strong>Green Computing:</strong> Studies on energy-efficient algorithms, hardware, and software design to reduce the environmental impact of computing systems.</p> </li> <li> <p><strong>Renewable Energy Integration:</strong> Research on the use of computer science and engineering to optimize the integration of renewable energy sources into power grids and systems.</p> </li> <li> <p><strong>Sustainable Software Development:</strong> Methods, tools, and best practices for developing eco-friendly and resource-efficient software applications.</p> </li> <li> <p><strong>Smart Cities and IoT:</strong> Applications of computer science and engineering in the development of smart and sustainable urban environments, including IoT solutions.</p> </li> <li> <p><strong>Environmental Data Analysis:</strong> Techniques for processing, analyzing, and visualizing environmental data, enabling informed decision-making for sustainability.</p> </li> <li> <p><strong>Cryptography for Sustainability:</strong> Secure and energy-efficient cryptographic algorithms and protocols for resource-constrained environments.</p> </li> <li> <p><strong>E-Waste Management:</strong> Studies on the responsible disposal and recycling of electronic waste and the role of computer science in creating sustainable e-waste management systems.</p> </li> <li> <p><strong>Data Centers and Cloud Computing:</strong> Research on sustainable data center design, cooling techniques, and cloud computing practices that reduce energy consumption.</p> </li> <li> <p><strong>Ethical AI and Machine Learning:</strong> Investigations into the ethical use of AI and machine learning for sustainable development, including bias mitigation and fair algorithms.</p> </li> <li> <p><strong>Sustainable Networking:</strong> Strategies for energy-efficient networking, green communication protocols, and resource-aware network management.</p> </li> <li> <p><strong>Education for Sustainability:</strong> Curricular and pedagogical innovations in computer science engineering education to foster sustainability awareness and practices among students.</p> </li> </ol> <p><strong>Publication Frequency:</strong></p> <p>The IJSDCSE is published on a quarterly basis, providing readers with the latest research and insights in the field of sustainable computer science engineering.</p> <p><strong>Audience:</strong></p> <p>This journal targets a broad audience, including researchers, academics, industry professionals, policymakers, and students interested in the synergy between computer science engineering and sustainable development. It encourages contributions from a global community, fostering collaboration and knowledge exchange.</p> <p><strong>Submission Guidelines:</strong></p> <p>Authors are invited to submit original research, reviews, and articles aligned with the journal's scope and focus areas. Manuscripts should adhere to the journal's submission guidelines, which are available on the journal's website.</p> <p>The International Journal of Sustainable Development in Computer Science Engineering is committed to promoting sustainable practices and innovations in computer science engineering and seeks to make a significant contribution to addressing the global challenges of sustainability and environmental responsibility in the digital age.</p> </div> <p><strong>IJSDCSE</strong> is a double-blind peer-reviewed journal indexed in several databases like google scholar, Wos, Dooj, EI</p> <p> </p> <p>JCR Impact Factor: 4.6 (2019)</p> <p>JCR Impact Factor: 5.6 (2020)</p> <p>JCR Impact Factor: 5.9 (2021)</p> <p>JCR Impact Factor : Under Evaluation (2022)</p> <div align="left"><strong>Peer Review Policy</strong></div> <div align="left"><br />All submitted manuscripts are subject to initial appraisal by the Editors. If found suitable for further consideration, papers are subject to peer review by independent, anonymous expert referees, under the guidance of a team of expert Associate Editors. All peer-review is double-blind and submissions can be made online via the Submission Portal.</div> <p><br /><strong>Publishing Ethics</strong></p> <div align="left">The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. We are member of the Committee of Publications Ethics (COPE) and utilizes CrossCheck for all Journals. </div> <p> </p> </div> en-US International Journal of Sustainable Development in computer Science Engineering https://journals.threws.com/index.php/IJSDCSE/article/view/291 <p>The convergence of Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity is redefining business operations in the digital age. AI and ML enhance decision-making, optimize workflows, and enable predictive insights, while advanced cybersecurity measures ensure the protection of sensitive data and systems against evolving threats. This paper explores how these technologies collectively drive efficiency, innovation, and resilience in enterprises. It examines their transformative impact across sectors, highlights implementation challenges, and discusses strategies to harness their full potential. By integrating AI, ML, and robust cybersecurity frameworks, businesses can achieve sustainable growth while safeguarding their digital ecosystems.</p> ALLADI DEEKSHITH Copyright (c) 2024 2024-12-02 2024-12-02 2 2 https://journals.threws.com/index.php/IJSDCSE/article/view/293 <p>Big Data has become a pivotal force in the evolution of Information Technology, revolutionizing the way data is collected, managed, and analyzed. This study explores the rapid growth of Big Data, driven by advancements in cloud computing, machine learning, and storage technologies. It examines how Big Data is reshaping IT operations, enhancing decision-making, and fostering innovation across industries. Additionally, the paper discusses the challenges posed by the volume, velocity, and variety of data, alongside strategies to harness its potential. The insights provided highlight the transformative role of Big Data in driving efficiency, scalability, and competitive advantage in the IT sector.</p> Manoj Chowdary Vattikuti Copyright (c) 2024 2024-12-02 2024-12-02 2 2 https://journals.threws.com/index.php/IJSDCSE/article/view/294 <p>Big Data Analytics has emerged as a critical tool for extracting value from large, complex datasets in the modern digital era. This study delves into the fundamental standards that underpin big data analytics, including data collection, processing, storage, and analysis techniques. It highlights the diverse applications of big data analytics across industries such as healthcare, finance, retail, and logistics, demonstrating its capacity to drive informed decision-making, optimize processes, and foster innovation. The paper also addresses the challenges associated with data privacy, security, and scalability, emphasizing the need for robust frameworks to fully realize the potential of big data analytics in transforming businesses and societies.</p> SAI TEJA BOPPINITI Copyright (c) 2024 2024-12-02 2024-12-02 2 2 https://journals.threws.com/index.php/IJSDCSE/article/view/297 <p>Road Collisions may be averted if the sleeping drivers are presaged early sufficiently. Sleepiness or tiredness is a major root of modern-day road collisions and has noteworthy effects on road protection. driver fatigue is a completely considerate problem triggering several avenue collisions each year. research inferences that around 20% of today's overall collisions take place only through state-of-the-art exhaustion trendy driving force. quite a number of drowsiness detection approaches have been evolved that witness the drivers' drowsiness nation for the duration of driving and then indicators the drivers each time required to keep away from avenue collisions. the precise capabilities are based totally on automobile measures, physiological measures, and behavioral measures. This work presents a scientific evaluation of cutting-edge drivers’ drowsiness popularity approaches grounded on physiological measures.</p> Manaswini Davuluri Copyright (c) 2024 2024-12-02 2024-12-02 2 2