Category Emerging Technologies

Reading Time: 4 minutesThe rise of Industry 4.0 and the proliferation of smart factories have placed stringent requirements on data processing and decision-making in industrial automation. Traditional cloud computing architectures often introduce latency that can compromise real-time control, predictive maintenance, and safety-critical operations. Edge computing offers a solution by processing data closer to industrial devices, enabling low-latency responses […]

Reading Time: 4 minutesArtificial Intelligence (AI) is rapidly transforming engineering disciplines by providing advanced tools for prediction, control, and optimization. In critical engineering systems such as aerospace, power grids, autonomous vehicles, and industrial automation, AI-driven models are increasingly used to monitor system performance, predict failures, and optimize operations. Despite their effectiveness, many AI models, particularly deep neural networks, […]

Reading Time: 4 minutesEmerging technologies play a pivotal role in shaping the future of engineering systems, particularly in domains requiring adaptability, intelligence, and autonomous decision-making. Among these technologies, hybrid artificial intelligence models have gained significant attention due to their ability to combine multiple computational paradigms into unified, high-performance solutions. By integrating learning-based, rule-based, and optimization-driven techniques, hybrid AI […]

Reading Time: 3 minutesAs the world of technology advances, emerging computing paradigms are reshaping the landscape of artificial intelligence (AI). Among these, neuromorphic computing stands out as a revolutionary approach, inspired by the structure and function of the human brain, enabling low-power, high-efficiency intelligent systems. This technology represents a significant departure from conventional computing, offering novel pathways for […]

Reading Time: 3 minutesSignal processing plays a fundamental role in modern information systems, supporting data acquisition, transformation, and interpretation across a wide range of scientific and engineering domains. As signal complexity and data volumes increase, classical computing architectures face growing challenges in meeting performance and efficiency requirements. Quantum computing has emerged as a novel computational paradigm with the […]

Reading Time: 3 minutesThe exponential growth of scientific literature has significantly increased the challenge of maintaining academic integrity. Traditional plagiarism detection methods, which rely heavily on surface-level text comparison, are no longer sufficient for identifying sophisticated forms of plagiarism in scientific manuscripts. This article examines the role of artificial intelligence in plagiarism detection, focusing on how machine learning […]

Reading Time: 3 minutesIntelligent systems have emerged as a transformative force in modern engineering, enabling enhanced automation, improved decision-making, and optimized performance across diverse industries. By integrating advanced computational techniques, artificial intelligence (AI), machine learning (ML), and real-time data processing, these systems are redefining the way engineers design, monitor, and maintain complex infrastructures. This review provides a comprehensive […]

Reading Time: 4 minutesSecuring sensitive information is a top priority. With the increasing reliance on digital systems for communication, commerce, and storage, the risk of cyberattacks continues to grow. Financial transactions, personal identification, private communications, and critical business data all require robust mechanisms to ensure confidentiality, integrity, and authentication. Cryptography, the science and art of protecting information, provides […]

Reading Time: 4 minutesThe field of face recognition has experienced remarkable growth in recent years, driven by developments in machine learning, computer vision, and high-performance hardware. Despite these advancements, achieving consistently high recognition accuracy remains a challenge, particularly when images are captured under uncontrolled conditions. To address these challenges, researchers and practitioners explore preprocessing methods that enhance facial […]