Research ArticleOpen accessPhrase in the titleEvaluation of the Stability of Underground Rock Pillars through a Probabilistic ApproachMassimo Guarascio, Pierpaolo OresteProblem statement: When the room and pillar mining method is adopted, the dimensioning of the rock pillars is one of the most important aspects that need to be faced from the engineering point of view. The available calculation methods are usually simplified and involve the areas of influence method for the evaluation of the mean axial stress induced in the … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 30 Jun 2012 · 7,031 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTunnel Static Behavior Assessed by a Probabilistic Approach to the Back-AnalysisClaudio Oggeri, Pierpaolo OresteProblem statement: The steps of the validation procedure of the project of a tunnel are briefly illustrated in this study, starting from the geological and structural surveys on the excavation walls and the measurement of the physical and mechanical parameters during the excavation works. Unfortunately, however, the knowledge of the rock mass, which is fundamental to the project, is usually … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 4 Jun 2012 · 7,030 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAnalysis of the Tunnel-Support Interaction Through a Probabilistic ApproachPierpaolo OresteThe analysis of the behavior of a tunnel requires the evaluation of numerous parameters, relative to the ground and the support structure and which are generally only known with a certain degree of approximation. The uncertainty of these parameters is reflected on the results of the calculation, that is, on the state of stress in the support structure. In order … …American Journal of Applied Sciences, Vol. 12, Issue 2 · 3 Apr 2015 · 6,983 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficacious Geospatial Information Retrieval Using Density Probabilistic Document Correlation ApproachR. Uma, MuneeswaranInformation Retrieval (IR) is a profound technique to find information that addresses the need of query. Processing of normal text is easier and information can be retrieved efficiently. There are plenty of algorithms in hand to carry out the normal text retrieval. Whereas retrieving geospatial information is very complex and requires additional operations to be performed. Since geospatial data contain … …Journal of Computer Science, Vol. 9, Issue 1 · 16 Feb 2013 · 7,011 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison the Proposed Probabilistic-Based Time-History and the Traditional PSHA ApproachA. NicknamThe main objective of this article is to demonstrate the ability of our technique in estimating the probabilistic-based time-history to be used in dynamic analysis of structures. The result of using our technique is compared with that of traditional approach proposed by Cornell (Cornell, 1968), in the form of response spectrum through a case study. Good agreement of the two … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 6,945 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHIGH SPEED PROBABILISTIC ADDER FOR SIGNAL PROCESSING SUBSYSTEMSC. G. Ravichandran, S. VenkateshbabuThis study proposes a new high performance and low power adder using new design style called probabilistic is proposed. The design of a probabilistic adder that achieves low power and high speed operation. The delay and power dissipation are reduced by dividing the adder into two parts to reduce the carry chain. This dividing approach reduces active power by minimizing … …Journal of Computer Science, Vol. 10, Issue 5 · 30 Dec 2013 · 6,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 888 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Bias Detection in Tweets Using Bayesian Probabilistic ModelPrasanth G Rao, Harsha Chigurupati, Krish Hashia et al.Content moderation on social media faces persistent challenges from inconsistent evaluation shaped by subjective judgment and subtle semantic variations. This work proposes a Bayesian probabilistic framework for detecting bias in tweets using WordNet-based vocabulary filtering, statistical normalization via z-scores, and threshold optimization. The system is stateless, scalable, and dataset-agnostic, requiring no session-specific information. Unlike complex models such as Support Vector … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,009 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractCommunity Aware Recommendation System with Explicit and Implicit Link PredictionMuhammed E Abd Alkhalec Tharwat, Mohd Farhan Md Fudzee, Shahreen Kasim et al.Recommendation systems are essential tools that help users discover content they may be interested in, amidst the vast amount of information available online. However, current methods, such as using historical user-item interactions and collaborative filtering, have limitations in accurately predicting user preferences. Our research aims to address these challenges and improve the performance of recommendation systems. In this article, we … …Journal of Computer Science, Vol. 19, Issue 8 · 19 Jul 2023 · 5,858 accessesView PDFCite