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1366 articles for “deep”
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Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection
Abstract: The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 20–31 Read article
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Modelling, Simulation & Optimization of Renewable Energy-Based Hybrid Microgrid for Electrification of Rural Areas
Abstract: Rural electrification in India faces persistent challenges due to unreliable grid connectivity, elevated transmission and distribution costs, and the geographical isolation of remote communities. Insufficient access to reliable electricity constrains economic development, educational opportunities, healthcare delivery, and overall quality of life in these areas. This study details the design and simulation of an off-grid, renewable-based hybrid micro grid for two rural villages: Khirgitola in Chhattisgarh, which has an electrification rate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1206–1218 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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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Object Detection Using Deep Learning Algorithm
Abstract: Object detection is a computer technology related to computer vision and image processing that deals with detecting images of semantic objects of a certain class (for example cars, buildings, etc.) in digital images and videos. To detect objects, there are many algorithms available, in this paper YOLO algorithm is explored for detection of objects on real-time data. You Only Look Once (YOLO) is a state-of-the-art real time object detection system …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 1–13 Read article
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Efficient PCB Fault Detection System using Deep Learning and Image Processing
Abstract: Printed Circuit Boards (PCBs) are essential parts that support the operation of electronic equipment in a variety of sectors. Nevertheless, difficulties that manufacturers regularly face during the PCB manufacturing process lead to defective devices. However, current inspection processes occur after etching, wasting a lot of material and rendering defective PCBs unusable. This study discusses relevant practical difficulties and offers a method for identifying errors in real PCB images using Matlab …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 1–5 Read article
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Determination of Well Loss and Aquifer Loss of New Construction Deep Water Well at Artesian Aquifer in Khulna City, Bangladesh
Abstract: This work studied the performance of water well installed as artesian aquifer in South Western Region of Bangladesh. The main activities were known to the properties of aquifer condition on that area. Well performance was also measured after development of water well. The well performance and aquifer performance were justified by Rorabaugh’s graphical methods. The total depth of drilling was 305 m from the ground level. Drilling was completed by …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 8–13 Read article
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Survey of Intelligent Surveillance System using Image Processing and Deep Learning Techniques
Abstract: Abstract Closed-circuit television systems (CCTV) are becoming more and more pop- ular and are being deployed in many offices, housing estates and most public spaces. Thus, the job of CCTV operators is becoming very challenging as the footage contains a lot of information and gradually becomes cumbersome. Rapid advancement in the field of computer vision could be observed as an important trend in video surveillance and lead to substantial effi- …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 3, 2020 · pp. 34–64 Read article
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Rethinking Functional Dairy Foods: A Deeper Dive into Nutrition, Resilience, Cognitive Skill, and Healthy Ageing Across the Lifespan
Abstract: Dairy products have long been recognized as fundamental components of a balanced diet, providing essential nutrients that support overall health, well-being, and longevity. This study explores the role of dairy consumption in promoting sustainable nutrition, enhancing life expectancy, and maintaining a healthy lifestyle. Dairy foods – such as milk, yogurt, and cheese – are rich sources of high-quality protein, calcium, vitamins, and bioactive compounds that contribute to bone health, cardiovascular …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 50–68 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Tensor-Flow Based Approach to Identify Author of the Text
Abstract: Now-a-days a lot of content is available on internet, and people upload lot of information in form of opinion, review, description, recipe etc. online. In such scenario to trace the authenticity of the data, it is necessary to develop an author identification system. It has become a difficult problem in the scope of unnamed information has increased with fast growing Internet life. It is a process to identify author of …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 23–29 Read article
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Emotion Recognition based on Human voice tones
Abstract: In this period of technology and automation, human interaction with machines has become an unavoidable occurrence. Machines are making our lives much easier, stretching their hands wherever it is possible for smoother operation of various tasks. Emotion recognition system is one of the system that can help humans for a much easier and meaningful interaction with machines. It can be used in various branches such as artificial intelligence, health care, …
Published in Current Trends in Information Technology · Vol. 10, Issue 2, 2020 · pp. 1–5 Read article
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Adaptive Reuse in Interior Design: Creative Preservation and Transformation
Abstract: These findings underscore the importance of creativity and innovation in overcoming obstacles and achieving sustainable outcomes. Furthermore, the study offers practical recommendations for future adaptive reuse projects, emphasizing the need for comprehensive planning, community involvement, and flexible design strategies. Through this comprehensive analysis, this study contributes to the ongoing discourse on sustainable design practices and highlights the potential of adaptive reuse in addressing contemporary environmental and social challenges. It aims …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 1, 2024 · pp. 16–20 Read article
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The Dark Web: An Exploration of the Shadowy Corners of the Internet
Abstract: The Internet consists of two main segments: the "Surface Web" and the "Deep Web". The Surface Web encompasses all publicly accessible and indexed websites, while the Deep Web comprises unindexed pages. Within the Deep Web, the "dark web" constitutes the most substantial component, housing concealed content on the World Wide Web. To utilize it, specific settings, authentication, and software are needed. The Onion Router, or TOR, is a multi-layer encryption …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 1–5 Read article
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Significance of Lighthing Design
Abstract: Lightning design plays a pivotal role in both architectural and interior design, impacting aesthetics, functionality, and psychological well-being. This research investigates the multifaceted influence of lighting on human emotions, cognitive functions, and overall mental well-being within built environments. Moreover, it explores the visual comfort aspects of lighting design, emphasizing its significance in minimizing glare, shadows, and eye strain to optimize occupant satisfaction. Through a series of case studies, this study …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 1, 2024 · pp. 37–46 Read article
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Items and Interior Design Solutions that makes Premises Comfortable for a Living
Abstract: Interior design plays an important role in creating the atmosphere, functionality and beauty of living spaces. This research paper examines the multifaceted impact of interior design on buildings and exami nes the impact of interior design on occupants' wellbeing, quality of life and overall satisfaction with t heir living environment. This article synthesizes the current literature to examine various aspects of in terior design, including spatial arrangement, color composition, furniture …
Published in International Journal of Optical Innovations & Research Read article
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The Influence of Interior Design on House
Abstract: Interior design plays an important role in creating the atmosphere, functionality, and beauty of living spaces. This research paper examines the multifaceted impact of interior design on buildings and exami nes the impact of interior design on occupants' wellbeing, quality of life and overall satisfaction with t heir living environment. This article synthesizes the current literature to examine various aspects of in terior design, including spatial arrangement, color composition, furniture …
Published in International Journal of Electronics Automation Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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The Influence of Interior Design on a House
Abstract: Interior design plays an important role in creating the atmosphere, functionality, and beauty of living spaces. This research paper examines the multifaceted impact of interior design on buildings and examines the impact of interior design on occupants' wellbeing, quality of life and overall satisfaction with t heir living environment. This article synthesizes the current literature to examine various aspects of interior design, including spatial arrangement, color composition, furniture arrangement, lighting, …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 1–13 Read article