ListarUNIR REVISTAS por tema "deep learning"
Mostrando ítems 1-20 de 45
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A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. ... -
A Convolution Neural Network Engine for Sclera Recognition
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ... -
A Platform for Swimming Pool Detection and Legal Verification Using a Multi-Agent System and Remote Image Sensing
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)Spain is the second country in Europe with the most swimming pools. However, the legal literature estimates that 20% of swimming pools are not declared or irregular.The administration has a corps of people who manually ... -
A Recent Trend in Individual Counting Approach Using Deep Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ... -
Adaptation of Applications to Compare Development Frameworks in Deep Learning for Decentralized Android Applications
(International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)Not all frameworks used in machine learning and deep learning integrate with Android, which requires some prerequisites. The primary objective of this paper is to present the results of the analysis and a comparison of ... -
Adaptive Deep Learning Detection Model for Multi-Foggy Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)The fog has different features and effects within every single environment. Detection whether there is fog in the image is considered a challenge and giving the type of fog has a substantial enlightening effect on image ... -
Alzheimer Disease Detection Techniques and Methods: A Review
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ... -
An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)Epilepsy is one kind of brain diseases, and its sudden unpredictability is the main cause of disability and even death. Thus, it is of great significance to identify electroencephalogram (EEG) during the seizure quickly ... -
An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. ... -
Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2 SE)
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 05/2024)About 422 million people worldwide have diabetes, the majority living in low-and middle-income countries, and 1.5 million deaths are directly attributed to diabetes each year. According to the Botanical Survey of India, ... -
Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)Sequential recommendation aims to predict the user’s next action based on personal action sequences. The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem. ... -
Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach
(International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)Counting cells in a Neubauer chamber on microbiological culture plates is a laborious task that depends on technical experience. As a result, efforts have been made to advance computer vision-based approaches, increasing ... -
Board of Directors' Profile: A Case for Deep Learning as a Valid Methodology to Finance Research
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)This paper presents a Deep Learning (DL) model for natural language processing of unstructured CVs to generate a six-dimensional profile of the professional experience of the Spanish companies' board of directors. We show ... -
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ... -
ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System
(International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ... -
COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ... -
COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ... -
COVID-19 Mortality Risk Prediction Using X-Ray Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ... -
Deep Belief Network and Auto-Encoder for Face Classification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ... -
Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ...
