Search
298 articles for “multi-class classification”
-
Analysis of Disease and Risk Prediction using ML
Abstract: This paper comprises of efficient machine learning algorithms used in predicting diseases through symptoms. As, the health industry has a huge amount of data for various fields, so we want to make a system where we can use various other applications of machine learning on health industry. This all had been done to make better medical decisions and also for rise in the accuracy. As an accurate analysis and early …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 7–13 Read article
-
Hybrid HMM/ANN Models for Improving Offline Handwritten Text Recognition
Abstract: AbstractIn this approach, it proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing the unconstrained offline handwritten texts. Handwritten image normalization from a scanned image includes several steps, usually it begin with image cleaning, page skew correction, and line detection. For handwritten text line image several pre-processing steps to reduce variation in writing style are performed like slope and slant removal and character size …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 16–23 Read article
-
IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
-
Multi-Modal Iris and Retina Recognition System using Discrete Hidden Markov Model based Score Fusion Technique
Abstract: The contribution of this work is to propose a model of multi-modal iris and retina recognition system where Hidden Markov Model based score fusion technique has been used for decision fusion approach. Two different uni-modal techniques such as iris recognition and retina recognition outputs are combined by using baseline reliability ratio based score fusion technique. CASIA iris dataset and DRIVE retinal dataset have been used to acquire the iris and …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 7–12 Read article
-
Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
-
Evaluation and Scientific Investigation: Stock Market Forecasting Techniques
Abstract: Analysts and scholars have consistently shown interest in predicting stock market trends, a complex task given the multitude of variables influencing stock values. This article includes a thorough analysis of 50 research papers that propose methodology for stock market prediction, including Bayesian models, fuzzy classifiers, artificial neural networks (ANNs), support vector machines (SVMs) classifiers, neural networks (NNs), and machine learning techniques. The collected papers are categorized using various prediction, clustering …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 26–40 Read article
-
Extended Cryptosystem
Abstract: In this paper, we propose Discrete Logarithm Problems (DLPs) over finite extension Fields. Consequently we propose Public Key Cryptosystems (PKCs), corresponding to these DLP As we know all the DLPs so designed are based on Galois Field of order p. More emphasis is given on algebraic aspect of the respective Galois Fields for DLPs defined therein.2000 Mathematics Subject Classification Number: 94A60.Keywords and Phrases: DLP, Finite Extension Field, PKCs, Galois Field, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 2, 2020 · pp. 9–12 Read article
-
The Evaluation of the Light Parameters and Pleural Fluid Cholesterol to Determine the Differences Between Exudative and Transudative Pleural Discharge
Abstract: Background: Pleural effusion occurs when an imbalance between pleural fluid production and absorption leads to the accumulation of excess fluid in the pleural cavity. Pleural effusions are commonly classified into two types: transudative or exudative, depending on the underlying mechanism of fluid formation. While transudates typically result from systemic factors like heart failure or liver cirrhosis, exudates are usually caused by local factors such as infection, malignancy, or inflammation. Differentiating …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 30–35 Read article
-
A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
-
Design and Simulation of Discrete Time Multi-Input Multi-Output Optimal Controller to Control Active and Reactive Power of DFIG
Abstract: The control of active and reactive power of doubly-fed induction generator (DFIG) in a large scale wind farm has become an important issue for the improvement of wind energy system to provide efficient and reliable electrical power with safety. The control strategies of active power and reactive power can be classified in two types—direct power control and indirect power control. First control strategy has designed based on the chosen switching …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 1–11 Read article
-
A Survey of Online Learning Algorithm
Abstract: Online learning is an active research area, which emerges in the last decade and has been considered as a subset of machine learning. Although, there is limited advancements has been made due to its high processing environment ultimately delaying its real-time applicability. In this study, we studied the various techniques with which the online learning algorithms have been able to successfully embark the results over the World Wide Web. It …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 6–9 Read article
-
Hyperspaces and Superspaces: Linearity and Boundedness
Abstract: Continuing the previous research, we analyze constructions of hyperspaces and superspaces elaborating classifications of such spaces. The main emphasis is on linear hyperspaces, which are formed over linear spaces with additional structures such as norms and seminorms. Linear hyperspaces are constructed over multiseminormed linear spaces and their properties are studied. In particular, it is demonstrated that a linear hyperspace over a multiseminormed linear space is a multihyperseminormed linear space. This …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 2, 2022 · pp. 11–27 Read article
-
Productive Performance of Pure Friesian Cows Raised under Conditions of River Nile State, North Sudan
Abstract: Data utilized in this study were obtained from the farm records of Al-Fayet project. The dairy farm is located in Gandatow, Shendi, River Nile State, as the first farm kept pure Friesian cattle. The main objectives of this study were to evaluate the productive performance of Friesian dairy cows and investigate the factors affecting those productive traits. A total of 138 performance records of Friesian cattle were used; covering the …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 7, Issue 1, 2018 · pp. 26–32 Read article
-
Multi Objective Optimization of Lifting Hook Strength for Hitachi Sumitomo Systems Using Cross Sectional Variations
Abstract: Material handling equipment refers to a broad category of mechanical systems used for the movement, storage, regulation, and safeguarding of materials and products throughout different stages such as manufacturing, distribution, usage, and disposal. These systems form an integral part of industrial operations by facilitating efficient handling processes. Typically, material handling equipment can be grouped into four primary classifications: storage and handling devices, engineered systems, industrial transport vehicles, and bulk material …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 1–15 Read article
-
Land Suitability Analysis for Urban Land Use Development
Abstract: Quiha is rapidly growing sub-city in terms of population and spatial growth in the last two decades. The city is characterized by mixed and conflicting land uses due to lack of adopting proper spatial decision support techniques. The aim of the study is to assess the existing land use and propose a method to facilitate land suitability analysis. Accordingly, the current urban land use of the sub-city was assessed; maps …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 27–40 Read article
-
A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
-
Face and Iris based Multimodal Person Identification using Likelihood Ratio Score Fusion Approach.
Abstract: AbstractThe aim of this paper is to propose a multimodal biometric system where likelihood ratio score fusion technique has been used to combine face and iris uni-modal biometric system outputs. Active Shape Model (ASM) has been used to extract the facial features and standard methods have been applied to effectively extract the human iris features. To evaluate the output of each individual modality of face and iris, Discrete Hidden Markov …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 60–67 Read article
-
Speaker Segmentation Using Non Linear Energy Operator Based Variance Spectral Flux
Abstract: AbstractSpeaker segmentation is considered to be a process that attempts to find speaker segment boundaries in a given audio stream. It can be used in various applications of speaker diarization, speaker indexing, word count etc. Classification of speech and non-speech can be obtained by traditional method of variance spectral flux (VSF). In this paper, we investigate the new techniques to perform the speaker segmentation task for multiple speakers in one …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 1–6 Read article
-
AODV Routing Protocol for Congestion Control Based on Packet Priority
Abstract: There is a requirement for permitting customer prioritization, in wireless multimedia streaming; so, arrangement of end client can be empowered with a good quality in-coordinate association with other client devices consequence. As of now, a similar priority is given to all clients, autonomous of their attributes, regularly bringing about unfair dispersion of throughput. This paper proposes a need based plan for QoS in MANET by classifying the activity stream into …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 1, 2018 · pp. 59–68 Read article
-
Research Trends in Library and Information Science (LIS) Seen through Scopus: Bibliometric Analysis
Abstract: This paper highlights the publication pattern in the field of Library and Information Science (LIS) based on the analytical study of the bibliographic details of journal articles by using 'Scopus' database. Attempt has been made to study the authorship pattern and distribution of articles. Highest article contribution was seen in the year 2014. A total of 203 authors contributed for the period 2007–2017. The degree of collaboration calculated was 0.56. …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 2, 2019 · pp. 24–30 Read article