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562 articles for “combined model”
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Quantum Error Correction on Cryptography
Abstract: This article introduces novel concepts in quantum error correction and cryptography. It explores “approximate quantum error correction” (AQEC), which relaxes the requirement for perfect error correction in quantum systems. AQEC specializes in creating codes tailored to specific types of noise models. The study establishes a universal, near-optimal recovery map for AQEC, simplifying the identification of effective approximate codes. In the realm of noisy-storage cryptography, the research envisions secure two-party cryptographic …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 18–23 Read article
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Breaking Barriers: Overcoming Challenges for Women in STEM in India-A Conceptual Perspective
Abstract: STEM education which brings together Science, Technology, Engineering, and Mathematics has become the foundation for success in today’s fast-changing, technology-driven world. It helps students think critically, solve real-world problems, and adapt to new innovations like artificial intelligence, robotics, data science, and biotechnology. In a country like India, where digital transformation is reshaping every sector, STEM education is not just an academic choice but a key to national growth and progress. …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 8–13 Read article
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Clinical Medicine Done with Clinical Accuracy
Abstract: The advancement of clinical medicine has progressively underscored the significance of accuracy in diagnosis and therapy. This article examines the concept of "Clinical Medicine Administered with Clinical Precision," emphasising how innovations in diagnostics, data analytics, and personalised treatments are transforming the healthcare environment. Clinicians can provide therapy that is not only successful but also personalised to each patient's requirements by combining evidence-based practices with patient-specific factors including genetic profiles, comorbidities, …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 6–19 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 39–46 Read article
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Deep Learning Based Plant Disease Detection
Abstract: Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of images of diseased and healthy plant leaves collected under controlled …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 33–42 Read article
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Security of Cloud Computing from a Blockchain Perspective
Abstract: Originally, the foundation of the Internet was trust. There are increased threats and problems after many information disclosures. We have employed even more modern Internet-based devices in recent years. Among the primary issues raised in literature, privacy, data protection, and trust require particular consideration. In this case, a new paradigm for information security has arisen, one that is built on transparency rather than the closed, cryptic methods used in present …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 7–11 Read article
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Study on the Rocking Phenomenon of Parachute Rope
Abstract: With the constant development of computer technology and the development of numerical simulation techniques, the simulation of the dynamics of the parachute is becoming increasingly accurate. To eliminate the effects of large deformation of the grid in the conventional parachute simulation, we chose the parachute model using the smooth particle hydrodynamics method and performed a steady-state fluid-solid coupling numerical simulation, which is in good agreement with the calculated gas power …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Integrated Flyback Converter with MPPT Control for Photovoltaic Applications
Abstract: This study consists of the analysis and modeling of a MPPT controlled flyback integrated converter for a Photovoltaic system. Here MPPT is used to maximize power withdrawal under all certain conditions such as when the solar radiation is less. Maximum power point tracking (MPPT) introduce in photovoltaic system also tracks the regularly fluctuating maximum power point. Buck-Boost flyback integrated converter is used as a DC-DC converter in the proposed system. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 1–7 Read article
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Evaluating the Performance and Efficiency of Control Strategies in the Context of Reconfigurable Battery Architectures for Fast- Charging Electric Vehicle Stations
Abstract: Electric vehicles (EVs) are becoming very popular because they help to reduce pollution and save energy. But one big problem is charging, because normal charging take very long time. Many researchers study fast charging methods to make EV charging faster, safe and more efficient. Recent studies show that reconfigurable battery systems can help a lot. These system can change their connection or structure to charge faster and reduce loss. Recent …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 2, 2026 Read article
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ML Associated DoS and DDoS Attack Observation in Protection
Abstract: DoS and DDoS assaults are significant risks to the availability and integrity of online services and networks. Attack traffic might come from a variety of geographical regions, making it difficult to filter and neutralize the attack. DDoS attacks are far more sophisticated and powerful than DoS attacks. They use a network of compromised devices, known as a botnet, to launch a coordinated attack on a target. Monitoring and evaluating the …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 18–26 Read article
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Antidiabetic Potential of Bryophyllum pinnatum: A Study on its Pharmacological Effects and Synergistic Action with Glibenclamide
Abstract: Diabetes is a long-term metabolic disorder that profoundly impacts an individual’s overall health, social interactions, and quality of life. While significant progress has been made in diabetes management with the use of medications such as insulin and oral hypoglycemic agents, the limitations of these existing treatments highlight the need for new therapeutic alternatives. Moreover, the high cost of current diabetes medications makes them inaccessible to many, particularly in rural areas …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 2, 2025 · pp. 18–30 Read article
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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IoT Based Air and Sound Pollution Monitoring System
Abstract: One of the most important and significant elements influencing human lives and health, as well as the health of living things and the natural or constructed environment, is environmental pollution. The low- cost environmental pollution monitoring system described in this study will be used to measure temperature, dust, sound pollution, and highly toxic gases such as CO2, CO, and CH4. It was created based on user needs to identify and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 6–12 Read article
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Thermoelectric Waste Heat Recovery from Industrial Exhaust Systems Using Nanostructured Hybrid Heat Exchangers
Abstract: The efficient utilization of industrial waste heat has become a critical strategy for improving energy efficiency, reducing fossil fuel consumption, and minimizing greenhouse gas emissions in modern manufacturing sectors. This study proposes a thermoelectric waste heat recovery (TWHR) system integrated with a nanostructured hybrid heat exchanger to enhance heat transfer performance and maximize electrical power generation from high-temperature industrial exhaust streams. The proposed system employs nanostructured surface modifications combined with …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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An Integrated Satellite and Underwater IoT Framework for Real-Time Oceanic Disaster Monitoring and Resilient Communication
Abstract: Ocean-based environmental disasters such as tsunamis and underwater earthquakes pose significant risks to human life, coastal infrastructure, and regional stability. However, traditional communication networks often collapse during such events, leading to delayed alerts and uncoordinated response efforts. This study presents an integrated framework that combines underwater Internet of Things (IoT) systems with satellite communication technologies to enable real-time oceanic disaster monitoring and reliable emergency communication. The system connects underwater sensor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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SoloRider: An Autonomous Self-Balancing Electric Bike for Sustainable Urban Mobility
Abstract: Rapid urbanization has intensified challenges such as traffic congestion, parking inefficiency, and environmental degradation. While autonomous vehicle research predominantly focuses on four-wheel platforms, lightweight two-wheelers remain comparatively underexplored. Two-wheelers are a great option for sustainable urban transportation because of their many benefits, including their small size, lower energy consumption, better manoeuvrability, and lesser infrastructure requirements. This paper presents SoloRider, a conceptual autonomous self- balancing electric two-wheeler de- signed for sustainable …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article