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60 articles for “Irregular”
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Research ArticleOpen accessEvery word in the titleImplementation of a Novel Concatenated FEC by RS and Irregular Turbo Codes on OFDM SystemsA. Shanmugam, A. R. Abdul Rajak, S. Vishwanath, R. UpendraCode Division Multiple Access (CDMA) performs well in a multi-cellular environment where a single frequency is used in all cells. Code Division Multiple Access (CDMA) has severe problems associated with multipath and Channel news. One possible problem is that the receiver may require a very large dynamic range in order to handle the large signal strength variation among users. Due … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 7,039 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOn Strongly Coupled Linear Elliptic Systems with Application to Otolith Membrane DistortionI.K. YoussefProblem Statement: In this research, the author discussed the problems associated with the approximation of the mixed derivative terms appearing in strongly coupled linear elliptic systems by the finite difference method over irregular domains. To avoid the appearance of mixed derivative terms the author introduced a reformulation for the system through introducing a new dependent variable which adds one supplementary … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 6,714 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign and Bandwidth Analysis of Fault-Tolerant Multistage Interconnection NetworksR. Aggarwal, L. KaurThe design of a suitable interconnection network for inter-processor communication is one of the key issues of the system performance. In this study a new irregular interconnection network IABN (Irregular Augmented Baseline) has been proposed. IABN is designed by modifying existing ABN (Augmented Baseline Network). ABN is a regular multi-path network with limited fault tolerance. IABN provides three times more … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the keywordsData Analytics for Imbalanced DatasetMadhura Prabha R, Sasikala SThe primary issue in real-time big data classification is imbalanced datasets. Even though we have many balancing techniques to reduce imbalance ratio which is not suitable for big data that has scalability issues. This study is envisioned to explore different balancing techniques with experimental study. We tried comparing the effectiveness of various balancing strategies, including cutting-edge approaches for severely unbalanced … …Journal of Computer Science, Vol. 20, Issue 2 · 11 Jan 2024 · 5,473 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLandslide Susceptibility Assessment using Frequency Ratio Model Applied to an Area along the E-W Highway (Gerik-Jeli)Tareq H. Mezughi, Juhari Mat Akhir, Abdul Ghani Rafek, Ibrahim AbdullahProblem statement: The study area is frequently subjected to landslides especially alongside the E-W high way. This study demonstrates the implementation of the Frequency Ratio (FR) model with the aid of GIS tool to assess the contribution of every predisposing factor on landslides and produce a landslide susceptibility map to the area. Approach: A landslide location map of the study … …American Journal of Environmental Sciences, Vol. 7, Issue 1 · 28 Feb 2011 · 9,093 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractProsthetic Knee Mechanism Using a Double Locking System as a Safety MeasureEicarl Saynes Vazquez, Esther Lugo GonzálezThe design of a four-link knee prosthesis mechanism with two locking systems activated during the flexion/extension phase is presented. The first is geometric, totally mechanical and activated by the user's weight. The second is variable and is activated automatically when walking on irregular or special surfaces is required. The links' dimensions were selected using the differential evolutionary optimization algorithm to … …Journal of Mechatronics and Robotics, Vol. 8, Issue 1 · 12 Feb 2024 · 5,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Photosynthetic Pigment Content and Leaf Structure of Pteroceltis Tatarinowii Mutant with Yellow LeafYongchang Yu, Chen Lv, Min Liu, Tiantian ChenThe relationship betweenleaf variation characteristics and leaf structure characteristics of Pteroceltistatarinowii with yellow leaf was explored to provide a theoretical basisfor the breeding of other ornamental plants. In this study, the differences inpigment content, leaf structure, and chloroplast ultrastructure in leaves of Pteroceltistatarinowii mutant with yellow leaf 'Huiguang' and its original species'Lingyansi No. 1’ were studied. The results showed that … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 3 · 20 Sep 2022 · 5,598 accessesView PDFCite