Search
1962 articles for “E.M. algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
-
Comparative Analysis of CMOS CNFET and Memristor Based Full Adder Circuits and CMOS Memristor Based Multiplexer Circuits
Abstract: Continued developments in microelectronics technology have led to a myriad of new compute-intensive applications at the micro-edge, such as artificial intelligence and signal and image processing. Multiplication is a crucial arithmetic process in such applications. However, large logic complexities typically seen in traditional multipliers generate combinatorial blocks with long chains of cascaded carry addition. As such, energy efficiency has remained a primary design challenge for these applications, when powered by …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 2, 2022 · pp. 22–33 Read article
-
Area and Speed Efficient Floating Arithmetic Logic Unit Implementation on Hybrid FPGAS
Abstract: Proposed design of an Area and Speed optimized field arithmetic logic unit (FALU) for modern computing of advanced processors, as we are aware that in most of the DSP (Digital Signal Processors) FALU is a critical component for continuous calculation of signs and ongoing information to meet the constant situation of sign handling it is exceptionally needed to make calculation quicker as could be expected so we have thought of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 29–34 Read article
-
Comparative Study of Machine Learning Techniques for Intelligent 6G Wireless Networks
Abstract: With exponential increase in the traffic and corresponding bandwidth demand, there is an immediate requirement to serve this traffic through the high-speed wireless communication networks. To fulfil requirements of the next-generation users, it will be mandatory to resort to use of advanced physical layer solutions, spectral bands at higher frequency, and efficient software enabled intelligent algorithms. In this regard, Machine Learning (ML) algorithms will play a key role in ensuring …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 3, 2021 · pp. 1–10 Read article
-
The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
-
Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
-
A Survey based on Image Segmentation for various Approaches
Abstract: The procedure of image segmentation is the system by means of which a given picture is segmented into a few sections with the end goal to examine into more reasonable shape. The image segmentation has incredible significance in the region of image processing. There are certain elements that influence the procedure of picture segmentation like the intensity of picture to be segmented, color, type and the commotion present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 1–6 Read article
-
Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
-
Design of Tool Allocation Positions on Magazines Using Optimization Algorithm
Abstract: In today’s manufacturing environment, several industries are accomplishing flexible manufacturing systems (FMS) of group technology in cellular manufacturing to meet the competitive market requirements.CNC machines are widely used in FMS due to their high flexibility in processing. Generation of optimal index positions of cutting tools index position is an important task to overcome then on-machining time of CNC machines and for achievement of optimal plans.The present work proposes an application …
Published in Trends in Machine design · Vol. 2, Issue 3, 2015 · pp. 20–29 Read article
-
Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
-
An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
-
GENETIC ALGORITHM BASED DESIGN OF A SIMPLY SUPPORTED REINFORCED CONCRETE BEAM
Abstract: This paper demonstrates an application of the genetic algorithms to the design of a simply supported reinforced concrete beam. Cost optimisation of reinforced concrete beam is carried out to get the most economical concrete section and the reinforcements at user specified intervals. Genetic algorithm is used to find out the depth, the number and diameter of bars and the diameter and spacing of stirrups. A program is created based on …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 55–59 Read article
-
An Implementation of Maintaining Database and Generating Report using K-Means Algorithm
Abstract: This is a sponsored project from Electronics Testing and Development Center (ETDC), a government organization which works under Standardization Testing and Quality Certification (STQC), Government of India, and provides quality assurance services in the area of electronics and IT through countrywide network of laboratories and centers. Automation of testing and calibration of electronic instruments will assist ETDC in providing these services in a better way by generating report and maintaining …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 1, 2014 · pp. 19–23 Read article
-
Atmospheric Remote Sensing: Bridging Technology and Environmental Challenges
Abstract: The rapid advancements in remote sensing technologies have revolutionized the field of atmospheric studies, offering unprecedented capabilities for detailed observation, analysis, and understanding of the Earth's atmosphere. These technological innovations have proven to be instrumental in tackling critical environmental challenges, providing scientists and researchers with the tools needed to monitor and analyze atmospheric phenomena with greater precision and depth.This article delves into the historical development, current state, and diverse applications …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 14–19 Read article
-
Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
-
An Analysis into the Issues of Multi-Agent Data Mining
Abstract: Presently instructional establishments compile and store vast volumes of information like student enrollment and attending records, moreover as their examination results. Mining such knowledge yields stimulating info that serves its handlers well. Ascension in instructional knowledge points to the very fact that distilling huge amounts of information needs an additional subtle set of algorithms. This issue led to the emergence of the sphere of Educational Data Mining (EDM). Ancient data …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 3, 2018 · pp. 1–4 Read article
-
An Overview, Changes, and Uses of the Novel Social Spider Optimization Algorithm
Abstract: The rising complexity of real-world problems has prompted researchers and computer scientists to look for more effective ways to solve difficulties. Generally inspired by nature, bioinspired metaheuristics based on swarm intelligence algorithms and evolutionary computation have been widely employed to solve complicated, real-world optimization problems because of their adaptability to a broad variety of factors. The social spider optimization (SSO) approach is introduced in this article as a swarm-based algorithm, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 61–71 Read article
-
Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
-
Primality Testing: A Comprehensive Analysis of Methods and Time Complexity
Abstract: This paper examines various primality testing algorithms and analyzes their time complexity. The algorithms we examine include the trial division, which is straightforward but becomes inefficient with large numbers; Fermat’s little theorem which is a probabilistic method included in Monte Carlo type of randomized algorithm; the Solovay–Strassen, based on properties from number theory, particularly those related to Euler’s criterion and Jacobi symbols; and the Miller–Rabin Probabilistic Test, which balances efficiency …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 25–31 Read article
-
Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article