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413 results for “methods and techniques”
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Research ArticleOpen accessEvery word in the titleDeveloping a Computer Program for the Methods of Radius-Estimating Techniques for Horizontal CurvesAsma Th. Ibraheem, Fatin JananProblem statement: This study discusses the development of computer software of two phases. First phase contains the calculations of all curve elements of the four types of the horizontal curve and second phase contains the modeling of the ten methods of estimating the radius of the horizontal curve. Approach: The program is named as HCRET, which stands for Horizontal Curves … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 2 · 13 Jul 2011 · 8,028 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Review ArticleOpen accessIn the keywordsSurvey on Representation Techniques for Malware Detection SystemGamal Abdel Nassir Mohamed, Norafida Bte IthninMalicious programs are malignant software’s designed by hackers or cyber offenders with a harmful intent to disrupt computer operation. In various researches, we found that the balance between designing an accurate architecture that can detect the malware and track several advanced techniques that malware creators apply to get variants of malware are always a difficult line. Hence the study of … …American Journal of Applied Sciences, Vol. 14, Issue 11 · 10 Jul 2017 · 8,582 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybrid Method for Automatic Speech Recognition Performance Improvement in Real World Noisy EnvironmentUrmila Shrawankar, Vilas ThakareIt is a well known fact that, speech recognition systems perform well when the system is used in conditions similar to the one used to train the acoustic models. However, mismatches degrade the performance. In adverse environment, it is very difficult to predict the category of noise in advance in case of real world environmental noise and difficult to achieve … …Journal of Computer Science, Vol. 9, Issue 1 · 27 Feb 2013 · 7,754 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPreventing Injuries Via Innovative Investigations: Reviewing Dangerous Driving Research MethodsChris S. Dula, Russell Fox, Ashley Dickson et al.Dangerous driving behavior is particularly difficult to study for many reasons. Researchers must be creative to capture meaningful data, but innovative techniques often meet with problems that might be solved through the broader use by others. The researchers generally lack a central location from which to review and choose from past methods. This article reviews the techniques used to study … …Current Research in Psychology, Vol. 3, Issue 1 · 16 Jul 2012 · 7,283 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTermite Damage to Buildings: Nature of Attacks and Preventive Construction MethodsAbdel Ghaly, Skai EdwardsProblem statement: Termites are an essential member of the soil ecosystem and are found throughout the world. In their natural environment, they improve soil pH, organic carbon content, water content and porosity by cycling dead organics. However, they can negatively impact human welfare by causing damage to unprotected timber structures, underground cables, earthen dams, irrigation ditches and farming equipment. Globally, … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 2 · 12 Jul 2011 · 26,765 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTeaching Strategies and Class Practices of the Teachers who Teach Turkish as a Foreign Language (A Qualitative Research)Ali GocerProblem statement: In the globalizing world, second language/foreign language has gained a great importance. The importance of the foreign language teaching has increased in our time in which knowing a foreign language has deviated from being a specialty and become a feature that everyone must have. For that purpose, teachers must know the characteristics of the learners very well and … …Journal of Social Sciences, Vol. 4, Issue 4 · 31 Dec 2008 · 7,772 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Survey on Event Detection Models for Text Data StreamsWafa Zubair AL-Dyani, Farzana Kabir Ahmad, Siti Sakira KamaruddinEvent Detection (ED) is a study area that attracts the attention of decision-makers from various disciplines in order to help them in taking the right decision. ED has been examined on various text streams like Twitter, Facebook, Emails, Blogs, Web Forums and newswires. Many ED models have been proposed in literature. In general, ED model consists of six main phases: … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 7,038 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 999 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite