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Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation
A relaxed state is essential for effective hypnotherapy, a crucial component of mental health treatments. During hypnotherapy sessions, neurologists...
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Weighted target indications spiking neural P systems with inhibitory rules and time schedule
Spiking neural P systems with target indications are a branch of parallel distributed computing models in which neurons communicate information...
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Structured Encoding Based on Semantic Disambiguation for Video Captioning
Video captioning, which aims to automatically generate video captions, has gained significant attention due to its wide range of applications in...
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Queens of the Hill
Inspired by the programming game Core Wars, we propose in this work a framework and the organization of king of the hill-style tournaments between P...
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Category-Aware Siamese Learning Network for Few-Shot Segmentation
Few-shot segmentation (FS) which aims to segment unseen query image based on a few annotated support samples is an active problem in computer vision...
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Federated Constrastive Learning and Visual Transformers for Personal Recommendation
This paper introduces a novel solution for personal recommendation in consumer electronic applications. It addresses, on the one hand, the data...
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Simple variants of non-cooperative polymorphic P systems
We investigate the computational power of non-cooperative polymorphic P systems with no additional ingredients. The variants we study are even more...
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Universality of a surface chemical reaction network using only bi-molecular reactions
In recent years, a novel molecular computation model known as surface chemical reaction network (Qian, In: DNA computing and molecular programming:...
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English letter recognition based on adaptive optimization spiking neural P systems
The novel dynamic guider algorithm within the adaptive optimization spiking neural P system (AOSNPS) framework is employed to create an innovative...
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ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
ChatGPT is another large language model (LLM) vastly available for the consumers on their devices but due to its performance and ability to converse...
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EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels
The hand motor activity can be identified and converted into commands for controlling machines through a brain-computer interface (BCI) system....
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CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images
Thyroid nodule (TYN) is a life-threatening disease that is commonly observed among adults globally. The applications of deep learning in...
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ConceptGlassbox: Guided Concept-Based Explanation for Deep Neural Networks
Various industries and fields have utilized machine learning models, particularly those that demand a significant degree of accountability and...
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Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information
Methylation is considered one of the proteins’ most important post-translational modifications (PTM). Plasticity and cellular dynamics are among the...
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Enhancing Document-Level Relation Extraction with Attention-Convolutional Hybrid Networks and Evidence Extraction
Document-level relation extraction aims at extracting relations between entities in a document. In contrast to sentence-level correspondences,...
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The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review
Unmanned aerial vehicles (UAVs) have become essential in disaster management due to their ability to provide real-time situational awareness and...
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A solution to the only one object problem with dissolution rules
In the framework of membrane computing, (non-)uniform families of recognizer membrane systems are usually defined to solve abstract decision...
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Towards Efficient Recurrent Architectures: A Deep LSTM Neural Network Applied to Speech Enhancement and Recognition
Long short-term memory (LSTM) has proven effective in modeling sequential data. However, it may encounter challenges in accurately capturing...
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DFootNet: A Domain Adaptive Classification Framework for Diabetic Foot Ulcers Using Dense Neural Network Architecture
Diabetic foot ulcers (DFUs) are a prevalent and serious complication of diabetes, often leading to severe morbidity and even amputations if not...
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Thinking about spiking neural P systems: some theories, tools, and research topics
The present work focuses on three notions about spiking neural P systems (SN P systems), namely normal forms, homogeneous systems, and software tools...
