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107 articles for “Multi-Fusion”
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A Next-Generation IoT-Enabled Smart Cane for the Visually Impaired: Integration of Advanced Navigation, Context-Aware Obstacle Detection, and Real-Time Voice Guidance
Abstract: The rapid growth of Internet of Things (IoT) technologies, combined with advances in embedded systems and artificial intelligence, has opened new possibilities for developing assistive mobility solutions tailored to the needs of individuals with visual impairments. This paper introduces an IoT- enabled smart cane designed to enhance independent mobility through intelligent environmental interpretation and context-aware navigation. Unlike traditional canes that rely solely on tactile feedback, the proposed system incorporates multiple …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 12–17 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Amalgamation of Medical Image using Wavelet Theory
Abstract: Image fusion has become a common term used within medical diagnostics and treatment. The term is used when multiple patient images are registered and overlaid or merged to provide additional information. Fused images may be created from multiple images from the same imaging modality, or by combining information from multiple modalities, such as magnetic resonance image (MRI), computed tomography (CT) etc. In radiology and radiation these images serve different purposes. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 1, 2015 · pp. 9–14 Read article
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Information Fusion Based IoT Semantic Data
Abstract: Today there are millions of heterogeneous devices around us which are attached with different types of sensors to collect real world data and to communicate with other devices. As a result, interoperable service-oriented technologies are required to share the real-world data among these heterogeneous devices to integrate and fuse these semantic data. To solve this problem, a frame-work for multi-source heterogeneous information fusion based on the information of semantic data …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 29–34 Read article
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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 1–8 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Review on Various Image Fusion Techniques
Abstract: Recently the wide research field in image processing is image fusion. Combining of all the information and data from all the images without any ruin of information and distortion is image fusion. To obtain an image having all the relevant features at focus is not easy, so getall the feature in single image is obtained by fusing the images with different techniques. This paper describe the brief survey of the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 14–17 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Utilizing Metallurgical Wastes for the use of magnetic separation
Abstract: To enable a wider application of magnetic applications, concentration and purification parameters must be enhanced. The inventive fusion of electromagnetic gradients and multipurpose separations will establish new magnetic-based trends for large-scale downstream processing. More creative solutions are required for downstream processing to advance and resolve the problems facing bioprocessing today. Chromatography is the method that a conservative industry sector uses the most frequently. Chromatography provides a few benefits, but it …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 2, 2022 · pp. 37–41 Read article
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An Integrated Autonomous Rover-Drone System for Intelligent Exploration and Environmental Monitoring
Abstract: This paper presents a hybrid autonomous exploration platform integrating a ground rover and aerial drone, enhanced by swarm intelligence and a custom-trained YOLO V8 object detection model. The rover is equipped with GPS, IMU, and environmental sensors (DHT11, MQ135, BMP180), while the drone performs real-time aerial mapping and obstacle prediction. A YOLO V8 model, trained on 500 annotated terrain images (six classes: rocks, pits, trees, water, animals, vegetation), achieves a …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 43–61 Read article
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Comparative Review on Image Fusion Techniques
Abstract: The goal of image fusion is to combine relevant information from two or more images of the same scene of the different times. The result of image fusion is a new fused image which is more suitable for human being and machine discernment for further image-processing tasks like segmentation, feature taking out and object recognition. Image fusion is the combination of two or more different images to form a new …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 3, 2014 · pp. 10–13 Read article
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Virtual Reality Based Decentralized Educational Art Gallery
Abstract: One can experience the forefront of education by engaging with our virtual reality (VR) powered decentralized educational art gallery. This groundbreaking platform seamlessly integrates VR technology with decentralized networks, crafting an unmatched learning journey. Curated collections of art from diverse cultures and eras can be explored, accompanied by interactive educational modules that deepen one’s understanding of each piece. One can engage with fellow learners in real time, fostering collaboration and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 31–37 Read article
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SYNERGISTIC FUSION OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE FOR IMPROVING PERFORMANCE AND RELIABILITY OF AUTOMATICALLY EXTRACTED URBAN FEATURES
Abstract: Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) …
Published in Journal of Remote Sensing & GIS · Vol. 1, Issue 1, 2010 · pp. 1–11 Read article
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A Novel Approach of Medical Image Fusion using Wavelet Transforms
Abstract: Image processing applications have been growing rapidly in real world. The term fusion means an approach to extract the useful information from several modalities. Image fusion (IF) is used to integrate the complementary information obtained from multisensor, multiview and/or multitemporal and get an image of more information and the quality of which cannot be achieved from any individual image. Different fusion algorithms are useful in many applications like medical diagnosis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 18–25 Read article
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A review of nanocomposite coatings for marine applications
Abstract: This paper reviews the performance and material characterization of nanocomposite coatings on the hydraulic pipelines of Ship A-Frame, which were corroded due to seawater exposure. Hydraulic pipe lines made of carbon steel face severe corrosion due to the highly corrosive nature of seawater with high salinity and microorganisms. The shipping industry utilizes organic and inorganic coatings to safeguard the hydraulic and seawater pipe lines of deck machines from marine pollution. …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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A Review: Fusion of Face and Iris by using Support Vector Machine
Abstract: AbstractA new approach for personal identification based on the fusion of iris & face recognition is presented in this paper. Biometric innovations are the establishment of the personal identification system. A biometric system recognizes a person based on a few characteristics or forms. This is in many instances watched in the region of security, privacy, and forensics. Even for the great of unimodal biometric systems, it is frequently no longer …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 1–10 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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A Novel Feature Level Fusion Method for Classification of Remote Sensing Images
Abstract: Feature level fusion approach is utilized in this paper to classify remote sensing images. Texture features are extracted from panchromatic images using mixed Gabor filter (GB), fast gray level co-occurrence matrix (GLCM) and linear binary pattern (LBP). The resultant texture features are classified using nearest neighbor (k-NN) classification method. Spectral features are extracted from the MS image and segmented using over segmented k-means algorithm with novel initialization (OSKNI). Finally the …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 1, 2019 · pp. 58–65 Read article
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Synthesis and Characterization of Composites of Beryllia and Lithium-titanate Produced by Solid State Route
Abstract: Beryllium oxide (BeO) is proposed to be used as a constituent for lithium titanate (Li2TiO3) based composite material for neutron multiplication and breeding in International Thermonuclear Experimental Reactor (ITER) for its high thermal conductivity, low neutron absorption cross-section and high neutron reflection cross section. In the present investigation, we report the synthesis of single phase BeO-Li2TiO3 composites with BeO to Li2TiO3 (produced through solid state route) in volume ratios of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 5, Issue 1, 2014 · pp. 17–27 Read article