Deep learning transforms the field of bioinformatics by giving capabilities at an unprecedented level for the analysis of genomic data. This chapter covers how cutting-edge neural networks are rewriting the rules in the interpretation of complex genomic datasets, making possible a whole range of...

Rank-aggregation takes multiple rankings of the same items and combines them into a unified ranking. Despite the existence of different rank-aggregation algorithms, they might struggle with capturing the intricate connections between different rankings. Deep-learning algorithms, with their...

In the digital age, document and grain denoising are critical for enhancing digital content readability and quality. This paper presents a comprehensive approach to document denoising using Convolutional Conditional Autoencoders. Utilizing datasets like NoisyOffice, Bickley Diary, DIBCO, and...

This chapter points out machine learning-Ml-that is set to alter air and water quality monitoring technologies. Traditional monitoring systems usually work satisfactorily; however, there always exists deficiencies regarding data processing and accuracy of response in real time. For this kind of...

This work addresses short-term wind speed prediction in offshore wind farms, a key challenge for renewable energy transition. Short-term forecasting ensures stable grid operation. Applying Deep learning (DL) techniques faces computation time and forecast performance challenges. The paper...

This chapter explores the performance of deep learning models including RNN, LSTM, GRU, and CNN in Persian document classification. The Hamshahri dataset is used for evaluation. The dataset comprises 345 MB of news text, encompassing 166,774 documents across 82 categories. The research...

This paper introduces an innovative deep learning model to enhance license plate recognition systems, using YOLO-NAS for accurate detection and recognition in real-world settings. The model, trained on diverse datasets, incorporates a novel quantization-friendly basic block, addressing previous...

The chapter will delve into deep neural network architectures developed for interdisciplinary research, specifically aimed at combining multimodal data. Modern research, spanning multiple domains like health and environmental science, necessitates the integration of diverse data sources like...

The product-based image enhancement model enhances the detection of small objects in unstable environments, with the seminal line 'Hermitian Product' delivering promising results. The proposed work utilizes Sub-Aperture Cross-Correlation Magnitude (SCM) to identify small ship targets in...

Effective communication requires the use of facial expressions, which are the most natural response in the human heart. Clinical practices and behavioral description are important for human-computer interaction, and facial expression recognition (FER) is also important. There has been a lot of...