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907 articles for “Strategic Approach”
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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Sustainable Waste Management through Polymer Recycling: A Review of Business Model and Managerial Innovation
Abstract: Plastic and other polymeric materials have transformed modern life by providing durability, versatility, and cost-effective solutions across industries such as packaging, healthcare, construction, and transportation. However, their extensive use and improper disposal have created significant environmental concerns, including plastic pollution, landfill accumulation, and marine ecosystem degradation. This review synthesizes existing literature on polymer recycling with a focus on business-model innovation and managerial practices that can support sustainable waste management at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 155–166 Read article
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Terrorist Network Mining
Abstract: AbstractTerrorist activities worldwide has moved toward the advancement of different high-finished strategies for dissecting psychological militant gatherings and disrupting government systems. Existing examination found that social network analysis (SNA) is a standout amongst the best and persistent technique for countering fear mongering in interpersonal organizations. In this paper our approach is divided in two phases, in Phase 1, we apply shuffled frog leap algorithm (SFLA) for SNA in order to …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 42–52 Read article
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Restoration of Degraded Agricultural Soils Through Organic Amendments and Sustainable Farming Practices
Abstract: This study investigates the efficacy of organic amendments and sustainable farming practices in restoring degraded agricultural soils, addressing a critical global challenge affecting food security and environmental sustainability. The research was conducted over three growing seasons on degraded semi-arid agricultural land, utilizing a randomized complete block design with five treatments: The following farming practices: pure control, organic amendments but market conventional farming practices, sustainable farming practices but market standard conventional, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 19–27 Read article
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From Knowledge to Action: Contribution of Environmental Studies in Sustainable Development
Abstract: In the contemporary era, most developing and underdeveloped nations across the world are striving to achieve rapid economic growth. However, it is essential to recognize that this unplanned and indiscriminate pursuit of development has resulted in significant environmental degradation. Increasing urbanization, industrialization, population growth, and excessive exploitation of natural resources have caused serious adverse impacts on the environment. As a result, sustainable development and environmental protection have emerged as major …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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Fire Risk Assessment and Safety Improvement Strategies in Industrial Facilities: A Comprehensive Review
Abstract: Fire incidents in industrial facilities continue to pose significant threats to human life, infrastructure, production continuity, and the environment despite continuous advancements in industrial safety practices. The increasing complexity of manufacturing processes, the widespread use of flammable materials, and the integration of automated systems have intensified the need for systematic fire risk assessment and effective safety management. This review paper examines the major sources of fire hazards in industrial environments, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 36–47 Read article
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Revolutionizing Blood Cancer Treatment: Emerging Therapies and Future Perspectives
Abstract: Blood cancer inclusive of leukemia, lymphoma and multiple myeloma poses a significant threat in the world today because of its multifactorial process and its non-amenable to standard therapies. Some of such approaches are immunotherapy, gene-editing technology and targeted small molecule inhibitors that have altered the nature of treatments. CAR T cell therapy is a molecular targeted therapy for cancers and several clinical studies have reported a huge success. Also, the …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Dengue in India : Insights in the Indian Context
Abstract: The mitigation of infectious diseases in India, notably Dengue, assumes pivotal importance due to their significant repercussions on human and animal health, thereby imposing a considerable burden on the healthcare infrastructure. This review underscores the ongoing initiatives in infectious disease management, endorsing the implementation of a comprehensive healthcare strategy. Emphasis is placed on the augmentation of reporting mechanisms through the integration of IgM detection kits, advocating for heightened investments in …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 10–13 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Management of Workplace Safety in Pandemic Scenario: A Matrix Based Approach
Abstract: The unprecedented disruption caused by the COVID-19 pandemic has upended the concepts of workplace safety. As the pandemic threat is not yet over and recurring waves hitting different nations, there is an increased need to normalize the workplace safety to deal with the different levels of threats. A structured approach calls for mechanism to regularly assess the threat level and accordingly devise and apply the control measures. This can significantly …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 3, 2021 · pp. 1–8 Read article
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Implementation of CDM Based PID Controller for a Stable and Double Integrating Process
Abstract: In this paper an attempt has been made to design a PID controller for a double integrating process and shell and tube heat exchanger process based on coefficient diagram method (CDM). Ball and beam system (Linear process) and the heat exchanger systems (Non-linear process) are widely used as a bench mark control setup for evaluating various control strategies. Many PID controller designs are developed for stable system, however it is …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 15–22 Read article
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Recent Advances in Crystal Defect Engineering of Semiconductor Photocatalysts for Sustainable Environmental and Energy Applications
Abstract: Semiconductor photocatalysis has emerged as one of the most promising green technologies for addressing environmental pollution and global energy challenges through solar energy utilization. Nevertheless, the practical application of conventional semiconductor photocatalysts is often limited by their narrow visible-light absorption, rapid recombination of photogenerated electron–hole pairs, insufficient active sites, and poor charge-transfer efficiency. Defect engineering has recently attracted significant attention as an effective strategy to overcome these limitations by deliberately …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Optimizing Tourist Mobility with Dijkstra’s Algorithm: A Review on Pollution Reduction through Smart Path Planning
Abstract: Although Tourism helps the economy, but it can also harm the environment, especially in popular tourist destinations. Optimizing routing is one way to reduce these environmental effects. This review paper examines how the well-known and traditional Dijkstra's method for shortest path computation is used to pollution management and support sustainable tourism. The study explores how intelligent traffic routing can minimize traffic congestion in environmentally sensitive areas and lower fuel consumption …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Effect of a Multi-Component Intervention on the Quality of Life of Breast Cancer Patients Undergoing Chemotherapy in a Selected Oncology Centre
Abstract: Breast cancer remains the most commonly diagnosed cancer among women globally and continues to be a leading cause of cancer-related mortality among females. In India, it has become the most prevalent cancer among women, with a noticeable rise in incidence annually. The growing burden of breast cancer highlights the urgent need for effective supportive care strategies that address not only the physical but also the emotional and psychosocial well-being of …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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A Comprehensive Review of AI-Driven Strategies for Tailored Wellness and Dietary Recommendations
Abstract: In today’s fast-paced world, health and fitness have become top priorities for many individuals. As a result, people increasingly turn to mobile apps and digital tools to track their wellness goals, follow diet plans, and stay fit. However, most of these apps provide the same set of recommendations for all users, ignoring the fact that everyone has different needs. This one-size-fits-all approach often fails to keep users engaged and motivated, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 16–20 Read article
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Thermally Adaptive Bio-Inspired VLSI Interconnect Model for Next-Generation Embedded Systems
Abstract: The increasing complexity of next-generation embedded systems has intensified the challenges associated with power dissipation, thermal instability, signal integrity, and interconnect reliability in Very Large- Scale Integration (VLSI) architectures. This research proposes a thermally adaptive bio-inspired VLSI interconnect model designed to enhance communication efficiency and thermal resilience in advanced embedded platforms. The proposed model integrates bio-inspired adaptive routing principles with dynamic thermal-aware interconnect management to optimize data transmission under varying …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Uncovering the Elusive Threat: An Investigative Study on Polymorphic Viruses
Abstract: In the intricate landscape of cybersecurity, polymorphic viruses have prominently emerged, distinguishing themselves through their unique ability to continually modify their code, rendering them stealthy and challenging to detect. This comprehensive study embarks on a journey through the complex world of these viruses. It commences with a historical lens, meticulously tracing their roots, their initial manifestations, and the progressive sophistication of their code-altering techniques. The research then pivots to a …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 10–21 Read article