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121 articles for “quality loss”
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Research ArticleOpen accessPhrase in the titleCalculation of Total Cost, Tolerance Based on Taguchi's, Asymmetric Quality Loss Function ApproachR. Sampath Kumar, N. Alagumurthi, R. RameshProblem statement: Current world market force the manufacturing sectors to develop high quality product and process design with minimum possible cost. About 80% of problems in production units may be attributed to 20% of design tolerance causes. While design typically represents the smallest actual cost elements in products (around 5%), it leverages the largest cost influence (around 70%). So design … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 8,045 accessesView PDFCite
Literature ReviewOpen accessIn the keywordsOn Destructive Peri-implant Bone LossAndre J. ViljoenDestructive peri-implant bone loss is distressing for both the patient and the treating dentist(s). In severe cases peri-implant bone loss may cause jawbone mutilation, making re-treatment highly complex or impossible and violating the treatment philosophy of “first, do no harm”. There are a multitude of causes of bone loss around a dental implant. These include, but are not limited to, … …Current Research in Dentistry, Vol. 10, Issue 1 · 25 Nov 2019 · 7,472 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Study of Packet Scheduling Algorithm in LTE NetworkAlaa Omer Najim, Nor Asilah Wati Abdul Hamid, Zurina Mohd Hanapi, Idawaty AhmadAt present, Long-Term Evolution (LTE) is the most popular Internet access technology because of its robust wireless connectivity that can support data, voice, video and messaging traffic. This advantage has significantly increased the number of users availing themselves of these services through various devices. Such an increase in the number of users has also increased network traffic. Thus, scheduling algorithms … …Journal of Computer Science, Vol. 13, Issue 12 · 20 Dec 2017 · 7,822 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInvestigating QoS and Performance of Received Signal Strength Indicator in Fiber Optics Broadband Data CommunicationOwusu Nyarko-Boateng, Adebayo F. Adekoya, Benjamin A. WeyoriThere has been an unusual drop of Fiber Optics Broadband (FOB) internet speed in certain localities in Ghana which severely affect users’ experience. This phenomenon have had a serious impact on the quality of service of internet delivery. This paper accessed the quality service of FOB wireless signal between the last mile cell site and the FOB wireless Access Point … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 3 Aug 2019 · 7,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrioritized Experience Replay-Based Deep Deterministic Policy Gradient for Reliable Path Selection in SDN-IoT NetworksGaurav Kumar, G. S. Girisha, N. ShamanthRouting optimization is becoming prominent in Software-Defined Networks (SDN) due to the exponential growth of network traffic demands and the requirement for Quality of Service (QoS). However, reliable routing that satisfies the QoS requirements, such as end-to-end delay, packet loss, and bandwidth, remains a difficult task in SDN. To overcome this limitation, a Deep Reinforcement Learning (DRL)-based Prioritized Experience Replay-based … …Journal of Computer Science, Vol. 22, Issue 8 · 4 Aug 2026 · 1,001 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Carrageenan on the Quality of Purple Sweet Potato Frozen Dough and Steamed BunsQiu-Yu Wang, Zhenxing Tang, Lei Wu et al.In order to enhance the stability of purple sweet potato steamed dough and the quality of resulting steamed buns, the influence of carrageenan conditions (0%, 0.5%, 1.0%, 1.5%, 2.0%, mass fraction) on the dough’s moisture distribution, freezable water content, rheological properties, microstructure, and on the specific volumes, water activity, texture, and color quality of steamed buns were studied. Adding carrageenan … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 7 Apr 2026 · 1,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 accessesView PDFCite