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15 results for “unreliable”
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Research ArticleOpen accessEvery word in the titleProcess is Unreliable and Quantity Discounts Supply Chain Integration Inventory ModelMing-Feng Yang, Yi LinThis paper mainly focuses on the discussion of the best economic production quantity of process unreliable and defective items reproduce of the production system. In today's production and manufacturing schedule, the quality of the supply chain often determines the efficiency of a company's operations. However, the traditional method of solving the problem of economic production quantities, mostly assumes that perfect … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 29 Oct 2015 · 8,298 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Causal Protocol with Forward Error Correction for Mobile Distributed SystemsEduardo Lopez Dominguez, Saul E. Pomares Hernandez, Gustavo Rodriguez Gomez et al.Problem statement: Causal ordering is used in Mobile Distributed Systems (MDS) to reduce the non-determinism induced by four main aspects: host mobility, asynchronous execution, unpredictable communication delays and unreliable communication channels. Some causal protocols have been proposed for MDS. All of these protocols in order to ensure the causal order in unreliable channels use the method of Automatic Repeat Request … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 8,239 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSecurity Challenges in Multicast Communication for Mobile Ad Hoc NetworkS. Gunasekaran, K. DuraiswamyProblem statement: Multicasting communication network accepted a single message from an application and delivered copies of the message to multiple recipients at different locations. Recently, there has been an explosion of research literature on multicast communication environment. The objective of this study were to contribute the complexity of supporting current multicast applications, (i) the lack of reliable multicast transport mechanisms … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack DetectionVinod Kumar Pal, Pankaj MudholkarThe tile business is a critical part of the national economic development, as it is one of the areas that provides employment, produces goods, and exports them. Regardless of its significance, there are challenges in the industry that are caused by issues with production, which in most cases is caused by low-quality materials used or by mishandling of the products … …Journal of Computer Science, Vol. 22, Issue 8 · 12 Aug 2026 · 979 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cross-Validation Under Concept Drift for Time Series ForecastingKunjira Kingphai, Prapakorn Kanjina, Kamol Sanittham, Wacharong WongsanurakTime-series forecasting often involves non-stationary data, making i.i.d. validation unreliable and fixed-window protocols vulnerable to leakage and biased error estimates. We propose Adaptive Time-Series Cross-Validation (ATSCV), a drift-aware evaluation framework that uses statistical change-point detection to partition each series into contiguous, approximately stationary regimes, followed by forward-chaining folds that respect those boundaries. By aligning train–validation splits with distributional changes (with … …Journal of Computer Science, Vol. 22, Issue 7 · 7 Jul 2026 · 1,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Fleet Management with GPS Data in Port Terminals: A Deep Learning Architecture for Truck Position PredictionMohammed El Karkraoui, Hicham AttariuasEffective truck fleet management in port terminals is crucial for improving operational efficiency and reducing delays. However, GPS-based positioning systems often face limitations in port environments due to signal obstructions and network issues. This study explores the utilization of advanced methods for deep learning, particularly Recurrent Neural Networks (RNNs) for predicting truck positions when GPS signals are unavailable or unreliable. … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,271 accessesView PDFCite
Research NotesOpen accessIn the abstractTime-Resolution of Climate Change Monitoring Volcanic Cycles, Stromboli, Ocean Floor Biota and Pandemics (?)Giovanni Pietro Gregori, Gabriele PaparoClimate change is an ongoing, poorly understood and disquieting challenge. The primary drivers are debated. Clear evidence is however suggestive of a time variation of the planetary release of endogenous energy. In fact, soil exhalation is an unprecedented challenge for humankind, as a phenomenon of this kind happens only every 27.40.05 Ma, while human history spans only the last 30,0000 … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 7 Sep 2021 · 6,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Reliable Failure Assessment Diagram by Persian CurveAbdolrasoul Ranjbaran, Mohammad Ranjbaran, Fatema RanjbaranA conventional tool for assessing the integrity of structures containing flaws is, the Failure Assessment Diagram (FAD). The (FAD) is a combination of the limiting conditions for load, the flaw size and fracture toughness or yielding stress. The abscissa is the load ratio and the ordinate is the toughness ratio. The toughness ratio is defined as a function of the … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 9 Apr 2021 · 8,231 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Review Study of Brain Activity-Based Biometric AuthenticationAla Abdulhakim Alariki, Abdul Wasi Ibrahimi, Mohammad Wardak, John WallBiometrics is the process of identifying an individual among others by biological means. Concerning security, biometric system is one of the best options available in this technology driven era. Places such as nuclear facilities, airports, banks etc. are on the frontline of security threats. Therefore, biometrics such as Iris, face and fingerprint recognition is frequently used to avoid any security … …Journal of Computer Science, Vol. 14, Issue 2 · 27 Jan 2018 · 9,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Threshold Based Compressive Sensing Algorithm in Wireless Sensor NetworkParnasree Chakraborty, C. ThariniWireless Sensor Networks (WSN) are comprised of spatially distributed sensor nodes, where each node contains sensors, processors and transceivers for communicating data. Regardless of the application in which the sensor network is serving, the data generated in the network eventually must be delivered to the sink. However the limited network bandwidth, frequent node/link failure along with the unreliable communication medium … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 3 Feb 2017 · 7,507 accessesView PDFCite