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17 articles for “landmarks”
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Comparision Of Success Rate Of Ultrasound-Guided Versus Landmark Technique For Caudal Block In Children
Abstract: Background: Caudal block is one of the most widely used epidural techniques in children, and this study compares its success when performed using ultrasound guidance versus the traditional landmark method. Methods: Forty-six children aged seven years or younger, classified as ASA I–II and undergoing surgery under general anesthesia with caudal analgesia, were enrolled and randomly assigned to either the landmark group (Group C, n = 23) or the ultrasound group …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Hyderabad's Charminar
Abstract: Charminar is a famous landmark in Hyderabad, India. It showcases the city's rich culture and history. Hyderabad founder Muhammad Quli Qutb Shah erected Charminar in 1591. Indo-Islamic architecture with Persian influences. Sultan Qutb Shah built Charminar in 1591. This square edifice with four pillars and intricate carvings is said to honour his wife Bhagmati. Why Charminar was erected is unknown. Many believe Charminar was constructed to celebrate the end of …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 2, 2025 · pp. 72–78 Read article
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An Evaluation of CNN and SVM Algorithms for Facial Recognition
Abstract: With the use of facial recognition technology, someone's identity can be confirmed or identified. Real-time or picture-based facial recognition technology can be used to identify individuals. One of the most important elements in the field of biometric security is facial recognition. The technology is mostly used in the fields of law enforcement and defence, while interest in other fields is growing. To recognize the face, numerous technologies and algorithms were …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 12–19 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics Read article
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DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article
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Hand-Tracking-Based Mouse Control for Touchless Human-Computer Interaction: Feasibility and Future Enhancement
Abstract: This paper presents a novel approach to human-computer interaction through a hand-tracking-based mouse control system using computer vision. The system utilizes OpenCV, MediaPipe, and the Cvzone Hand Tracking Module to identify and monitor hand movements in real-time. By utilizing hand landmarks, the system maps finger positions to cursor movement and enables essential functions such as clicking, scrolling, and double-clicking. The primary motivation for developing this system is to create a …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 18–25 Read article
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Feasibility of 3D Printed Temporal Bone for surgical simulation and practice
Abstract: Temporal bone (Ear Bone) has the most complex anatomical structure in body. ENT Surgeons need lot of practice before doing any surgery. Dissecting cadaver temporal bone is best teaching aid available with ENT surgeons, but have several constrains like legal, ethical, religious ground etc., restricts the hands-on dissection training. Availability of cadaver temporal bone is also very limited; it also houses many infectious agents and viruses. With recent advancement in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 147–154 Read article
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Zn Doped CuO Nanoparticles for Increasing the Longevity of The Agricultural Products †
Abstract: Nanotechnology is an enabling technology at the service of mankind. Indeed, enhancing the long-term storage of agricultural products (post-harvest during transportation and storage) in general and apples and tomatoes, in particular, is a challenge. Zn-doped CuO is a proven nanomaterial with special ability to kill plant pathogens as well as a variety of microorganisms (bacteria, virus, and fungus). Much of the review is focused on the landmark papers published by …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 14–29 Read article
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GHUMO.in: A Comprehensive Software to Boosting Tourism and Promoting Cultural Exchange
Abstract: India, with its vast and diverse landscapes, rich cultural heritage, and hidden gems, holds immense potential as a top tourist destination. However, unlocking this potential requires a comprehensive approach that addresses various aspects of travel, accommodation, cultural immersion, and safety. This research paper introduces “GHUMO.in”, an innovative platform designed to enhance the Indian tourism sector by showcasing remote areas, simplifying trip bookings, facilitating stays in local accommodations, providing life insurance …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 34–41 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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An Efficient Vision-Based Algorithm for Hand Pose Estimation and Cursor Control
Abstract: Conventional input devices like the keyboard and mouse are no longer necessary because gestures are becoming more popular as the most natural way to interact with computers. This project has demonstrated a novel real-time system that lets users control their computer cursors using simple hand gestures. The system facilitates an easy operation for us in terms of the use of a cursor by using techniques and hand mark detections. The …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 24–35 Read article
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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
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Gravitational Wave Astronomy (2015–2026): From Historic Discoveries to Quantum Detection Frontiers
Abstract: Since the landmark detection of GW150914 by the LIGO Scientific Collaboration in 2015, gravitational wave (GW) astronomy has transitioned from a theoretical frontier to a robust observational science. This breakthrough confirmed a major prediction of General Relativity and inaugurated an entirely new method for observing the universe. Over the past decade, continuous upgrades to ground-based interferometers such as LIGO, Virgo Collaboration, and KAGRA have dramatically improved detector sensitivity, enabling the …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 1–5 Read article
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Hakim Ismail Jurjani (1042–1137 AD): Life, Works, and Medical Legacy
Abstract: Hakim Ismail Jurjani, also known as Seyyed Isma’il Jorjani, was among the most distinguished physicians and scholars of medieval Persian medicine whose contributions significantly influenced the development of Greco-Arab and Unani medical traditions. His monumental encyclopedia, Zakhīra Khwārazmshāhī (Treasure of the Khwarazm Shah), is regarded as one of the greatest medical compilations of the Islamic Golden Age and represents a landmark in the evolution of Persian scientific literature. Unlike earlier …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 2, 2026 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article