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Research ArticleOpen accessEvery word in the titleThe International Multimodal Transport of Hazardous Goods and WasteGiancarlo Carosso, Cesare Luceri, Pierpaolo OresteThe international multimodal transport of hazardous goods and waste is a sector of remarkable economic importance. This transport activity is connected to several productive sectors and it can have considerable repercussions on the environment and health as well as on the safety of the workers and third parties that study in the same field. A certain part of the transport … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 10 Jul 2012 · 7,118 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDynamics of Corporates and Stakeholders Perspective of Corporate Social Responsibility: A Case of Sports Goods Industry MeerutR. K. TyagiProblem statement: The Corporate Social Responsibility concerns got global attention in large scale industries but the SME’s which are no less prone to create critical problems for the human, social and natural environments inimical to the society as a whole and survival at large, have not attracted the required attention. The case focuses on the dynamics of the corporate and … …American Journal of Economics and Business Administration, Vol. 2, Issue 2 · 30 Jun 2010 · 7,329 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExplaining Local Growth-Management Policies: The Role of Public GoodsDonna Driscoll, Dennis Halcoussis, Anton D. LowenbergProblem statement: Local jurisdictions such as cities and counties enact a wide variety of growth-management regulations, such as zoning ordinances and growth-promoting incentives. Approach: Use a theory of local public goods to identify the conditions under which jurisdictions are most likely to implement growth-management regulations. Predictions of the theory regarding variation in pro-growth measures across jurisdictions were tested using data … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 7,384 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEras of Material, Energy and Information ProductionSergey K. AityanThis study identifies and discusses three types of production: production of aterial goods, energy, and information. The production timeframes with the reference to each production era are about 103, 102 and 101 years. The necessity of education and the associated level of stress in different production eras were analyzed by comparing a typical length of a human life, which is … …Journal of Social Sciences, Vol. 8, Issue 3 · 28 Jul 2012 · 8,159 accessesView PDFCite
Research ArticleOpen accessIn the abstractHRIS Development Using Extreme Programming Approach to Increase Competitiveness in Society 5.0Glisina Dwinoor Rembulan, Evaristus Didik Madyatmadja, Johanes Fernandes Andry et al.The increasing use of information technology since the Industrial Revolution 4.0 has encouraged Human Resources (HR) to adapt to progress. The Society 5.0 era emerged as an anticipation of the issue of disruption due to the Industrial Revolution 4.0 which will degrade human resources. The large amount of HR information that must be managed gives rise to new problems, namely … …Journal of Computer Science, Vol. 20, Issue 11 · 7 Oct 2024 · 5,186 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling User Experience in Delivery Applications Using the Design Thinking Method and System Usability ScaleKevin Christianto, Aziza Chakir, Johanes Fernandes Andry et al.Technological developments bring comfort and ease to users in accessing applications. Companies need to design systems that are centered on human needs to create technology that is competitive in the market, especially in the field of expeditions. The problem that arises in the sea cargo expedition company is that master data recording is still done manually, which has an impact … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 5,999 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 abstractEnhancing Indoor Asset Tracking: IoT Integration and Machine Learning Approaches for Optimized PerformanceRafiq Hamadamin Maulud, Sadegh Abdollah AminifarIndoor asset tracking entails the surveillance and governance of the position and movement of tangible assets within enclosed spaces, including warehouses, hospitals, and workplaces. Indoor asset tracking systems employ technologies such as Radio Frequency Identification (RFID), Bluetooth Low Energy (BLE), Wi-Fi, and UWB (Ultra-Wideband) to deliver real-time visibility and precise placement of goods. This research introduces indoor asset tracking with … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,733 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractSales Forecasting Models: Comparison between ARIMA, LSTM and ProphetDmitry BrykinSales forecasting is crucial for business planning and resource allocation. Data-driven approaches have become popular in this field. This study compares the performance of three forecasting models: Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) and Prophet within the context of specific sales categories derived from acquiring data provided by a bank. This study uses a time series dataset … …Journal of Computer Science, Vol. 20, Issue 10 · 1 Aug 2024 · 7,981 accessesView PDFCite