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1962 articles for “E.M. algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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Analysis of Signal Processing Algorithms for Bio-Medical Applications
Abstract: Epilepsy is a burdensome brain disorder, in which heavy seizures will happen again and again. Sudden explosion of electrical activity during the seizures will create a blackout for patients and it will break the body equilibrium, so patients may fall down. Epilepsy affects a large population around the globe. It may begin at any age and last for generations. It can be controlled by the surgical removal of the brain …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 24–27 Read article
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MATNOB – Multi Access to Network Oriented Browsers
Abstract: ABSTRACT People in the developing countries always face the problem of internet; the major problem is that if a connection of internet is based upon LAN and Wireless, then it is not possible to use both connections at the same time. The operating system (OS) allows only one connection at a time. So, designing a software is the solution to solve this problem (software is designed only for internet browsers …
Published in Current Trends in Information Technology · Vol. 2, Issue 2, 2012 · pp. 12–17 Read article
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Heart Attack Prediction System Using Machine Learning
Abstract: There is an unrestrained increase in the rate of heart strokes at puerile ages. So, there is a need to develop a system that can predict this disease at an early stage and hence preventive measures can be taken at the initial stage. It is infeasible for common people to take tests such as ECG on a regular basis and hence we require a system that is easily approachable and …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 11–16 Read article
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GPU Based Non-Serial Polyadic Dynamic Programming Template
Abstract: AbstractNon-serial polyadic dynamic programming algorithms are used to solve combinatorial optimization problems like optimal polygon triangulation, optimal matrix multiplication and RNA secondary structure prediction using Zuker algorithm. They have irregular data access patterns and are complicated dynamic programming algorithms. Each computation is dependent on multiple entries computed earlier in the process. We provide a GPU based algorithm template that is optimized for non-serial polyadic dynamic programming algorithms. This template requires …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 3, 2017 · pp. 29–39 Read article
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Area and Power Improvement with New Initial Ordering Method Combined with Sift Algorithm for BDD Mapped Circuits
Abstract: Digital circuits are the important elements in almost every electronic design. As the size of electronic ICs are shrinking rapidly, the minimization of the circuit elements and power consumption became more focused area of VLSI research. In this paper, we have introduced a new method for reduction of area and power of binary decision diagram mapped circuits. Binary decision diagrams are used to represent digital functions in VLSI CAD. It …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 67–71 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Comparison of RSA and ECC Public key Cryptography Techniques in WSN
Abstract: Nowadays, the usage of the wireless sensor networks becomes more advanced and popular. The more these technologies are increasing; there is more necessity for the security mechanisms where the networks have increased diverse. So many security mechanisms solutions are been proposed in the domain of WSN so far and mostly these solutions are usually based on the cryptographic techniques or algorithms. This paper describes two public key cryptography techniques namely, …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 1, 2022 · pp. 28–35 Read article
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The Emerging Roles of the School Librarian in the Tech Era: A Transformative Synergy with NEP 2020 and KVS Initiatives
Abstract: The implementation of the National Education Policy (NEP) 2020 in India mandates a radical paradigm shift in the school education ecosystem, moving from rote-based learning toward a 5+3+3+4 pedagogical structure centered on critical thinking and multidisciplinary exploration. This paper employs a Qualitative Policy-to-Practice Synthesis (QPPS) design to analyze the evolving role of the school librarian as a strategic catalyst within this framework, with a specific focus on the Kendriya Vidyalaya …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 15–21 Read article
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Review of SHA-1 Encryption Algorithm
Abstract: In the security world, encryption is the popularly known method for protection and safety of data. Digital signature and message authentication are the widely known applications of hashing that require the hash value calculation. Sha-1 is amongst the most trusted algorithms for calculating hash values. Sha-1 takes any size of input and yields fixed size hash value of 160 bits after going through 80 rounds. Belonging to MD4 family sha-1 …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 3, 2016 · pp. 1–4 Read article
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Topology Optimisation of Continuum Structures in Civil Engineering using Firefly Algorithm -III
Abstract: This paper is in continuation of the ongoing research work on topology optimization in structural engineering. Metaheuristics are widely used for structural optimization and firefly algorithm has been consistently giving better designs. In this paper, a few civil engineering structures are designed and analysed. The results were compared with those existing in the literature.Cite this ArticleTanuja DV, Chandrasekhar KNV.Topology Optimisation of ContinuumStructures in Civil Engineering usingFirefly Algorithm -III. Journal ofExperimental …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 2, 2017 · pp. 33–38 Read article
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article
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Collaborative Code Editors: Advancements, Challenges, and Future Directions
Abstract: In recent years, collaborative code editors have become essential tools in software development, particularly for globally distributed teams. These platforms enable multiple developers to work together in real time, boosting productivity and facilitating seamless knowledge sharing. This survey investigates core technologies that drive collaborative code editors, including WebSocket communication and operational transformation, while highlighting significant challenges such as latency, conflict resolution, and scalability. By examining existing solutions and evaluating various …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 07–11 Read article
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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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Scheduling Algorithms in Cloud Computing: A Review
Abstract: Abstract: Cloud computing is one of the emanate computer technologies in information technology that provide shared resources like databases, storage, servers, and software to the users according to need on rental basis, which results in no initial setup cost. Scheduling is one of the critical aspects that influence the system performance. Scheduling algorithm is said to be efficient if it minimizes the completion time of the task, with limited resource …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 16–20 Read article
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Modified Binary Firefly Algorithm (MBFA) for Optimal Allocation of Spectrum in Cognitive Radio Systems
Abstract: Spectrum bands are nature’s communication highways which are highly congested now-adays. To overcome this problem, dynamic allocation of spectrum is under consideration over the current fixed spectrum allotment policy. In dynamic allotment, various optimisation methods can be applied for achieving the best possible spectrum allotment during handover so that the better quality of service can be given to cognitive users with the simultaneous improvement in spectrum utilisation. This study focuses …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 2, 2016 · pp. 42–47 Read article
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Application of Hill Climbing Algorithm for Optimization of Plate Fin Heat Exchanger
Abstract: This paper demonstrates the application of Hill Climbing algorithm for the design optimization of Plate-Fin Heat Exchanger (PFHE). Maximization of the effectiveness and minimization of the total annual cost are considered as two objective functions. Thermal modelling is done by ε-NTU method to estimate the heat exchanger effectiveness and pressure drop. Fin pitch, fin height, fin offset length, cold stream flow length, no-flow length and hot stream flow length are …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
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Support Vector Machine Based Supervised Machine Learning Algorithm for Finding ROC and LDA Region
Abstract: Breast Cancer is one of the most dangerous forms of conditions in the world, according to the Breast Cancer Institute (BCI). Breast cancer is a leading cause of death for women. Several empirical studies have explored the use of machine and predictive systems for breast cancer. Breast cancer can be the major cause of women’s death. Many claim their algorithms are faster, easier or more precise, as according to cancer. …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 26–33 Read article
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Unoccupied Floor Extraction in Autonomous Mobile Robot Navigation
Abstract: AbstractConsidering the today’s atomization need, autonomous mobile robot navigation and arena exploration becomes most substantial research area. The majority of navigational issues are robot localization, on floor objects localization, deciding strategy for navigation. This paper address the method used to explore empty floor detection implemented on raspberry pi 3 which assistances autonomous mobile robot in terms of localization during safe navigation. The literature shows most of the localization algorithms uses …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 41–44 Read article
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Compound Transmission Security for Mobile Cloud Computing Using Spread Spectrum Technique
Abstract: By accessing data stored in remote data centres, "mobile cloud computing" provides users with IT services tailored to their specific needs. It also provides the infrastructure to support hosting for pervasive applications in the corporate, scientific, and consumer spheres. The cloud or data centre server cannot automatically lease the appropriate amount of services based on the needs of the users. So, Mobile Cloud Computing (MCC) consists of three sub-modules viz. …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 3, 2023 · pp. 8–28 Read article