133 articles for “Comparative performance”

Research ArticleOpen accessIn the abstractMotion Detection and Projection Based Block Motion Estimation Using the Radon Transform for Video CodingShilpa P. Metkar, Sanjay N. TalbarProblem statement: Motion estimation and compensation is the most computationally complex module of video coder. In this study, an innovative algorithm was proposed for a further complexity reduction of the Motion Estimation (ME) module of video coder by employing motion detection prior to motion compensation. Approach: A Motion Detection (MD) module can be added to the video coder in order … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,330 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCapturing Biogas: A Means to Reduce Green House Gas Emissions for the Production of Crude Palm OilS. Vijaya, A.N. Ma, Y. M. ChooProblem statement: The Malaysian oil palm industry is an important industry to the nation. In 2009 alone the total export earnings reached RM 49.6 billion. The industry is under constant attack of its performance from the perspective of the environment, especially with regard to its Green House Gas (GHG) Emissions. Being an export orientated industry; this issue has to be … …Current Research in Geoscience, Vol. 1, Issue 1 · 30 Jun 2010 · 14,394 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHardware Implementation of Truncated Multipliers Using Spartan-3AN, Virtex-4 and Virtex-5 FPGA DevicesMuhammad H. RaisProblem statement: The development cost for Application Specific Integrated Circuits (ASICs) are high, algorithms should be verified and optimized before implementation. The Digital Signal Processing (DSP), image processing and multimedia requires extensive use of multiplication. The truncated multipliers can easily be implemented using Field Programmable Gate Array (FPGA) devices. Approach: This research presented the comparative study of Spartan-3AN, Virtex-4 and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 8,338 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimization of an Automatic Blast Furnace through Integrated Simulation ModelingAli Azadeh, S. F. GhaderiThe objective of this study was to develop an integrated simulation model of an automatic blast furnace in a full-scale steelmaking factory. The integrated simulation model introduces a set of optimizing alternatives through sensitivity analysis. The simulation model is built by considering all major and detailed operations and interacting systems of the blast furnace workshop. The workshop is composed two … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 7,099 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Comparative Study of Informed and Uninformed Search Algorithm to Solve Eight-Puzzle ProblemWahyu Hidayat, Fitri Susanti, Dedy Rahman WijayaProblems in artificial intelligence can be solved using intelligent tracking methods through intelligent search mechanisms. Understandably, search algorithm performances are highly dependent on the problem solved. In this study, we evaluate and compare the performance of five uninformed and informed search (breadth-first search, depth first search, optimal search and best first search using two heuristic functions, namely mismatched tile and … …Journal of Computer Science, Vol. 17, Issue 11 · 3 Dec 2021 · 8,834 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordSenior Expertise and Peer Consensus: A Comparative Analysis of AI and Clinician Measurements in Multi-Curve Scoliosis AssessmentFrank Ibañez Elijorde, Joselito F. Villaruz, Ma Beth S. Concepcion, Mylo N. SoriasoGiven the scarcity in the literature, this study explored the use of AI for multi-curve scoliosis assessment. Its performance was analyzed through comparison against a group of clinicians composed of one senior and five non-senior orthopedic surgeons. The analysis focused on Cobb angle measurement and identification of vertebral endplates across three curve regions, namely Main Thoracic (MT), Proximal Thoracic (PT), … …Journal of Computer Science, Vol. 22, Issue 3 · 9 Mar 2026 · 1,396 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Comparative Study of Resampling, Cost-Sensitive, and Ensemble Techniques for Handling Class Imbalance in Indonesian Financial DataGunawan Kurnia, Ditdit Nugeraha UtamaHandling class imbalance is a critical challenge in machine learning applications, particularly in financial domains where minority instances often represent significant anomalies such as fraud or audit risks. Various oversampling and undersampling methods were tested, alongside cost-sensitive adjustments and ensemble models including Random Forest, AdaBoost, Gradient Boosting, and XGBoost. The evaluation, based on 10-fold stratified cross-validation and performance metrics such … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,882 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordMonitoring of Reproductive Capacity of Dairy Cattle in Eurasia: A Comparative Study in Kazakhstan and the Republic of TuvaAnuarbek Temirbekovich Bissembayev, Sayana Darzhaevna Mongush, Dauren Maratovich Bekenov et al.This study investigates the reproductive capacity of dairy cattle populations in the Republic of Kazakhstan and the Republic of Tuva (Russian Federation). Experimental work was conducted at four study sites: in Kazakhstan, Abdrakhmanov Bolat Dauletbekovich SP (Akmola region) and Alimzhanov TS farm (Almaty region); in the Republic of Tuva, Oyun SP of Kyzyl district (forest-steppe population) and SPK Breeding Farm … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 14 Jan 2026 · 2,381 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,413 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,947 accessesView PDF Cite