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1987 articles for “Lap Splice Detection” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Counterfeit Product Detection Using Blockchain Technology
Abstract: In today’s bustling marketplace, the demand for products is skyrocketing, prompting an increase in production from numerous sources. However, this surge has brought along a concerning uptick in counterfeiting activities, presenting significant challenges for companies operating in the consumer market. Not only do these counterfeit goods result in substantial financial losses, but they also inflict damage on brand reputation. Moreover, the proliferation of counterfeit products can have adverse effects on …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 25–35 Read article
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Change Detection in Aerial Imagery
Abstract: The development of the Multi U-Net engineering marks an essential headway in geospatial question location inside ethereal symbolism investigation. The altered U-Net addresses the complexities of multi-class division in assorted geospatial settings. Leveraging the inalienable growing and contracting pathways inside U-Net plans, the Multi U-Net exceeds expectations in capturing complicated spatial data, in this manner setting up a vigorous establishment for exact division. The extend envelops an advanced picture handling …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 22–28 Read article
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A review of the employing of Wavelet transforms and Classifier Artificial intelligence (AI) methods for detecting power transmission difficulties
Abstract: Power systems use large interconnections to transmit and distribute electric power. For power transmission, the same voltage levels are used for minimum transmission losses. During power transmission faults may occur due to natural events such as lightning, strong wind, fire etc. Faults may occur between phase conductors to ground or between the phase conductors. Transmission line protection has been performed using the comparison of voltages and currents and activates the …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 36–41 Read article
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Yoga Posture Detection and Correction
Abstract: Our project introduces a pioneering method for enhancing yoga practice through real-time pose correction, utilizing cutting-edge computer vision technology. Originating in India 5000 years ago, yoga offers profound benefits for both body and mind, yet with the modern lifestyle's increasing stress levels, its popularity has surged globally. While various avenues exist for learning yoga, including classes at yoga centers and self-learning through books and videos, many individuals struggle to identify …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Avian Echoes: Convolutional Neural Network for Bird Vocalization Detection
Abstract: Bird species identification is a complex task within ornithology that demands advanced technological solutions. This research presents an approach leveraging Convolutional Neural Networks (CNNs) for bird species recognition based on identification of bird sound, each employing unique datasets and methodologies. The objective involves a two-stage identification process, beginning with the construction of an ideal dataset. The crucial step involves converting 1D audio waveforms to 2D spectrograms, enhancing CNNs' ability to …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–37 Read article
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AI-Powered Face Detection and Recognition Using Machine Learning
Abstract: These days, one of the biggest computer vision technologies is facial recognition. Face identification in computer vision, lighting position, and facial expression is always an extremely challenging issue. In real-time video pictures captured by a video camera, face recognition tracks specific objects. Put simply, it is a system tool that uses a still picture or video frame to automatically identify a person. In this research paper we use different different …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Detection of Active Compounds in Ulothrix sp. Algae
Abstract: The study included the identification of some active chemical compounds from blue-green algae Ulothrix and the production of many active compounds using algae extract. Algae are a talented cause of defiant corpulence mediators, as plump positions are an international hazard to human wellbeing. It is also linked to metabolic syndrome, type 2 diabetes, heart disease and blood vessels, anti-obesity agents from algae are represented by four main compounds with (Phlorotannins, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 39–43 Read article
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Exploring the Evolution of Mobile Phone Detectors: From Basic Sensors to AI-Enhanced Solutions
Abstract: This work talks about the creation and plan of a portable phone locator that can discover approaching and active signals from versatile phones. This little, pocket-sized gadget can sense when a portable phone is dynamic from a separate of one and a half meters. Because of this, it can help anticipate the utilization of portable phones in places like exam corridors, private rooms, and petrol stations. It can moreover effectively …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 17–23 Read article
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Self-similarities in Hilbert Envelope Energy Regions on Motion Waveforms Application in Detecting Motion Irregularities in Video Frames
Abstract: This paper introduces self-similar Hilbert envelope energy regions that are commonly found in oscillating spectral curves. The time-varying amplitudes and peak value frequencies in typical spectral curves reflect the response of a system to external stimuli. A Hilbert envelope is a smooth curve connected between spectral curve peak values. Each peak value on an envelope curve at time identifies an envelope-bounded region with interior area (called Hilbert envelope energy region …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 34–49 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Augmented Reality for Irrigation and Soil Moisture Detection
Abstract: Everything starts with water as its fundamental material. Water waste results from overconsumption, and it happens in agricultural areas as well. We suggest augmented reality for soil moisture measurement and irrigation to solve this issue. The farmer may irrigate the field with this idea and save water. Using augmented reality glasses, the soil 's moisture content is identified and visualized. The newest technology in the current world is augmented reality. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 14–21 Read article
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Comparison and Analysis of Facial Emotion Detection Using Various Deep Learning Neural Networks
Abstract: Facial emotion recognition employs Convolutional Neural Networks (CNNs), Residual Networks (ResNet), Long Short-Term Memory (LSTM) networks, and Deep Neural Networks (DNNs) to automatically identify various emotions, including disgust, anger, fear, happiness, sadness, surprise, and neutrality. This study utilizes transfer learning along with data preprocessing techniques such as rotation, flipping, brightness adjustment, and enhancement methods. Traditional machine learning models achieve an accuracy range of 45 to 50%. In contrast, our proposed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 37–42 Read article
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Cancer as one of the major diseases rank in the World is still very challenging to diagnose and treat hence need for the technological advancements. Chemotherapy, radiation, as well as surgery therapies have several drawbacks including non-selective action, damage to healthy tissues, and multi-drug resistance. Smart nano-theranostics, an advanced integration of nanotechnology with diagnostic and therapeutic modalities, offers a next-generation approach for precision oncology. Thus, the development of multifunctional nanoparticles …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Offshore Intrusion Detection, Surveillance and fishermen Safety System
Abstract: The proposed tracking system for offshore fishermen aims to support sustainable fishing practices and improve the livelihoods of fishermen. This innovative device combines GPS tracking with various features, including security, safety, maritime sustainability, and fishing management, all at a low cost. Key features of the system include: GPS and GPRS tracking: Enables real-time monitoring and location tracking of fishermen. GSM-assisted patrolling: Allows for efficient patrolling and response to emergencies. Security …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 Read article
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Enhancement of Gas Sensitivity of Composites of Carbon Derived from Rubber Tree and SnO2 to Detect Ethanol Vapor at Room Temperature
Abstract: Films of composites of activated carbon powder prepared from saw dust derived from core of rubber tree (Hevea Brasiliensis) and tin oxide (SnO2) were fabricated using the doctor blade method. Carbon powder was activated using phosphoric acid at 500°C for 45 minutes. The weight ratio carbon/SnO2 varied from 0 to 12% in steps of 2. The structural, optical and morphological properties of films were investigated using XRD patterns, UV-visible spectrums …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 31–44 Read article
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TiO₂ Nanostructured Material-based Gas Sensor for Detecting Oxygen and LPG Gases
Abstract: This Paper investigates the use of TiO2 nanowires and nanotetrapods on glass and silicon substrates for sensing combustible gases such as LPG (Liquid Petroleum Gas) and Oxygen. The growth of Titanium dioxide (TiO2) nanowires/nanorods/nanotetrapods was investigated using both physical and chemical methods. In thermal evaporation method, both with and without vacuum conditions, was employed to synthesize various TiO2 nanostructures. A vacuum coating machine was utilized to create uniform TiO2 thin …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 443–451 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article