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11 results for “Automated Planning”
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Review ArticleOpen accessEvery word in the titleA Review on Automated Menu Planning ApproachesHea Choon Ngo, Yu-N Cheah, Ong Sing Goh et al.Planning is widely been used in many areas such as in medicine, administration, business, logistics, education, environment and family matters. In automated planning research, the word "plans" refers specifically to plans of action. It is about the representation of future behavior, generally a series of action, with temporal and other constraints on them for execution by some agents. Theoretically, planning … …Journal of Computer Science, Vol. 12, Issue 12 · 8 Feb 2017 · 8,183 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybrid Approach to Process Planning: The Urban Traffic Controller ExampleJimoh Falilat Olaitan, Simon Parkinson, Thomas Leo McCluskeyAutomated planning and scheduling are increasingly utilised in solving evsery day planning task. Planning in domains with continuous numeric changes present certain limitations and tremendous challenges to advanced planning algorithms. There are many pertinent examples to the engineering community; however, a case study is provided through the urban traffic controller domain. This paper introduce a novel hybrid approach to state-space … …Journal of Computer Science, Vol. 13, Issue 8 · 23 Aug 2017 · 7,484 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 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
Research ArticleOpen accessIn the abstractPredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Modified Enhancement Method for Dental Images - Towards the Effective Detection of Dental DisordersKrishnaveni R, Sudarmani RDental health maintenance is essential for overall physiological well-being, and X-ray imaging remains a fundamental diagnostic tool for comprehensive dental examination. While direct clinical observation by dentists is primary, computer-aided diagnostic tools serve as valuable secondary readers, enhancing diagnostic accuracy and efficiency. This study proposes and evaluates the Gaussian CLAHE Enhancement (GCE) method, which combines Gaussian filtering (GF) with Contrast … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of 3D Scanning and 3D Color Printing Technologies for the Study and Documentation of Late Bronze Age Pottery from East-Central GreeceAntreas Kantaros, Maria I. Papageorgiou, Konstantinos Brachos et al.Antreas, K., & Piromalis, D. (2021). Employing a Low-Cost Desktop 3D Printer: Challenges, and How to Overcome Them by Tuning Key Process Parameters. International Journal of Mechanics and Applications, 10(1), 11–19. https://doi.org/10.5923/j.mechanics.20211001.02 Bachi, V., Fresa, A., Pierotti, C., & Prandoni, C. (2014). The Digitization Age: Mass Culture Is Quality Culture. Challenges for Cultural Heritage and Society (Vol. 8740, pp. 786–801). … …Journal of Mechatronics and Robotics, Vol. 8, Issue 1 · 24 May 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN OPTIMIZATION-BASED HEURISTIC FOR A CAPACITATED LOT-SIZING MODEL IN AN AUTOMATED TELLER MACHINES NETWORKSupatchaya Chotayakul, Peerayuth Charnsetthikul, Juta Pichitlamken, John KobzaThis research studies a cash inventory problem in an ATM Network to satisfy customer’s cash needs over multiple periods with deterministic demand. The objective is to determine the amount of money to place in Automated Teller Machines (ATMs) and cash centers for each period over a given time horizon. The algorithms are designed as a multi-echelon inventory problem with single-item … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 1 Oct 2013 · 7,049 accessesView PDFCite