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261 articles for “Deep complex”
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Performance Analysis of Space Shift Keying and Quadrature Space Shift Keying for MIMO Channels
Abstract: In wireless communication the propagation channel is characterized by multipath propagation due to scattering on different obstacles. MIMO takes advantage of multi-path and uses multiple antennas to send multiple parallel signals from transmitter. “Multi-path” occurs when different signals arrive at the receiver at various times. MIMO exploits the space dimension to improve wireless systems capacity, range and reliability. There are two different modulation techniques that exploits the best features of …
Published in Research & Reviews : Journal of Space Science & Technology Read article
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Neuro-Fuzzy Control Systems: A Cross-Domain Review
Abstract: This paper presents a comprehensive review of the application of neuro-fuzzy control systems in various industries. Using the combined strengths of neural networks and fuzzy logic, neural-fuzzy control systems emerge as versatile tools to solve challenging control challenges It begins with clarifying the theoretical basis of neural fuzzy systems, and emphasizing their scalability, definition, and robustness. Specific examples in each domain highlight the effectiveness of neuro-fuzzy control in solving real …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 29–38 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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Neuro-fuzzy Control Systems: A Cross-domain Review
Abstract: This paper presents a comprehensive review of the application of neuro-fuzzy control systems in various industries. Using the combined strengths of neural networks and fuzzy logic, neural-fuzzy control systems emerge as versatile tools to solve challenging control challenges. The paper begins with clarifying the theoretical basis of neural fuzzy systems, and emphasizing their scalability, definition, and robustness. Specific examples in each domain highlight the effectiveness of neuro-fuzzy control in solving …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 28–37 Read article
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The Unseen World Within: Decoding the Intricacies of Gut Microbiota and Its Impact on Human Health
Abstract: This comprehensive review delves into the multifaceted role of the gut microbiota in human health, elucidating its impact on diverse physiological processes, immune responses, and metabolic diseases. The intricate interplay of diet, genetics, and environmental factors is explored in shaping the composition and function of the gut microbiota, with consequential effects on conditions ranging from metabolic disorders to inflammatory bowel diseases and mental health. Therapeutic interventions, including probiotics, prebiotics, and …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 3, 2023 · pp. 12–21 Read article
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The Role of Augmented and Virtual Reality in Enhancing Education and Training
Abstract: Virtual reality (VR) and augmented reality (AR) are emerging as powerful tools that are transforming the way education is delivered and experienced. Unlike traditional teaching approaches that often rely heavily on textbooks, lectures, and passive learning, these technologies create highly interactive and engaging environments that allow students to actively participate in the learning process. By providing immersive experiences, VR and AR bridge the gap between theoretical knowledge and practical application, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 33–38 Read article
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Electromechanical Modeling of Microscale Fluidic Systems with Electro Kinetic
Abstract: Due to their capacity to carry out complex fluid manipulations at the microscale, microfluidic systems have become more popular in a variety of applications. For a variety of industries, including biomedical diagnostics, chemical analysis, and environmental monitoring, achieving precise and effective fluid control is essential. The electromechanical modeling of microscale fluidic systems using electro kinetic actuation is the main topic of this research study. We propose a thorough framework for …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 1, 2023 · pp. 18–22 Read article
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Custom Hand-Gestured Controlled Video Game using RGB Camera
Abstract: Video gaming is a rapidly evolving form of entertainment introducing young minds into the field and increasing competition within the industry. Due to the requirement of high-level passionate experience among players, game designers are forcing to create more realistic and enjoyable game plans. Gesture-based Monitoring (GM) in Human-Computer Interaction (HCI) plays a crucial role in increasing player’s enjoyment and delight during game play and chosen as a more significant modality. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 20–29 Read article
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Trauma of Survival and the Politics of Memory in Emile Habiby's The Secret Life of Saeed: The Pessoptimist
Abstract: Emile Habiby’s the Secret Life of Saeed: The Pessoptimist (1974) presents one of the most innovative and politically complex literary responses to the Palestinian Nakba and its enduring consequences. Through a distinctive fusion of satire, irony, absurdity, political allegory, and fragmented narration, Habiby departs from conventional representations of trauma and resistance. Rather than portraying Palestinian survival as a heroic or triumphant process of recovery, the novel presents survival as an …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 34–47 Read article
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Design and Development of an Automated Robotic Algorithm for Blasting, Painting, and Barnacle Cleaning of Offshore Structures
Abstract: Marine surface maintenance tasks such as barnacle removal, abrasive blasting, and protective painting are traditionally carried out using manual methods that are labor-intensive, hazardous, and prone to variability in quality. These challenges are particularly significant for offshore structures, where harsh environmental conditions and restricted accessibility increase operational risks and maintenance costs. This paper presents the design and evaluation of an autonomous robotic system for automated surface preparation and coating of …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 1–12 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Designing a Novel Insider Threat Model for Enhanced Cybersecurity
Abstract: Designing a novel insider threat model is a critical imperative in the realm of cybersecurity. As organizations face an ever-expanding threat landscape, insider threats, whether deliberate or inadvertent, present a formidable challenge to the safeguarding of sensitive data and critical assets. This abstract encapsulates the significance, challenges, and innovations inherent in crafting an effective insider threat model for enhanced cybersecurity. The necessity for novel insider threat models arises from the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 24–27 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Brain Stroke Detection Using Deep Learning and Grad-CAM Explainability Framework
Abstract: Seconds matter when a brain stroke occurs; it is a race against time where rapid, precise intervention is the only way to preserve a patient’s quality of life. This research introduces a deep learning framework designed to act as a vital ally for clinicians, providing automated, high-speed stroke detection through brain MRI analysis. At the heart of our approach is EfficientNetB0, a sophisticated neural network chosen for its ability to …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 8–14 Read article
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Influence of Folk Music on Sufi Music
Abstract: Sufi music, with its deep spiritual resonance and emphasis on divine love, has been profoundly shaped by various folk music traditions across different regions. This abstract explores the multifaceted influence of folk music on Sufi musical forms, highlighting how indigenous melodies, rhythms, and instrumentation have enriched and diversified its expressive palette. Folk music’s inherent simplicity, directness, and often communal nature provided a fertile ground for Sufi mystics to convey complex …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 10–14 Read article
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Management of Polycystic Ovarian Syndrome (PCOS)
Abstract: The complex condition known as polycystic ovarian syndrome (PCOS) is characterized by chronic anovulation and hyperandrogenism. Depending on diagnostic criteria, 6–20% of females in reproductive age are afflicted. PCOS symptoms start to appear in the early pubertal years. Acne, anovulation, and irregular menstrual periods are features of PCOS and pubertal development in the average girl. The complex intertwined pathophysiology makes it difficult to identify the provoking factors. Most available scientific …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 2, 2022 · pp. 35–41 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article