HIV/AIDS

Ternary spike-based neuromorphic signal processing system.

Deep Neural Networks (DNNs) have been successfully implemented across various signal processing fields, resulting in significant enhancements in performance. However, DNNs generally require substantial computational resources, leading to significant economic costs and posing challenges for their deployment on resource-constrained edge devices. In this study, we take advantage of spiking neural net...

Hugan Tiaoshen Formula Improves the Comorbid Mechanism of Schizophrenia and Sleep Disorder via Multitarget Interaction Network.

This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncover the molecular basis of schizophrenia (SCZ) and sleep disorder (SD) comorbidity and to systematically analyze the potential mechanism of the Hugan Tiaoshen Formula (HGTS) in treating SCZ with SD. Integrate transcriptional data of SCZ and SD from the GEO database, screen disease-shared differential...

An efficient plant disease detection using transfer learning approach

Plant diseases pose significant challenges to farmers and the agricultural sector at large. However, early detection of plant diseases is crucial to...

Advances in Intelligent Hearing Aids: Deep Learning Approaches to Selective Noise Cancellation

The integration of artificial intelligence into hearing assistance marks a paradigm shift from traditional amplification-based systems to intelligen...

MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting

Time series forecasting is a critical and practical problem in many real-world applications, especially for industrial scenarios, where load forecas...

A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method

An Advanced Persistent Threat (APT) is a multistage, highly sophisticated, and covert form of cyber threat that gains unauthorized access to network...

SecONNds: Secure Outsourced Neural Network Inference on ImageNet

The widespread adoption of outsourced neural network inference presents significant privacy challenges, as sensitive user data is processed on untru...

SHAP-Driven Feature Analysis Approach for Epileptic Seizure Prediction.

Predicting epileptic seizures presents a substantial difficulty in healthcare, with considerable implications for enhancing patient outcomes and quali...

Atomic Reasoning for Scientific Table Claim Verification

Scientific texts often convey authority due to their technical language and complex data. However, this complexity can sometimes lead to the spread ...

ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT

Neural Machine Translation (NMT) has improved translation by using Transformer-based models, but it still struggles with word ambiguity and context....

DSSAU-Net:U-Shaped Hybrid Network for Pubic Symphysis and Fetal Head Segmentation

In the childbirth process, traditional methods involve invasive vaginal examinations, but research has shown that these methods are both subjective ...

ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual Reasoning

The field of controllable image generation has seen significant advancements, with various architectures improving generation layout consistency wit...

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning

Vision Transformer (ViT) has achieved remarkable success due to its large-scale pretraining on general domains, but it still faces challenges when a...

AI Debate Aids Assessment of Controversial Claims

As AI grows more powerful, it will increasingly shape how we understand the world. But with this influence comes the risk of amplifying misinformati...

A Combined-Mode Machine Learning Model for Predicting Stroke Recurrence During Hospitalization in Patients with Acute Minor Ischemic Stroke.

Acute minor ischemic stroke patients often experience recurrence shortly after symptom onset, highlighting the importance of predicting stroke recurre...

A comprehensive dataset of mandarin leaf images for classification.

The research is devoted to mandarin leaf classification using a deep learning approach. Citrus cultivation has a big market in Bangladesh. In citrus, ...

Transcriptome Derived Artificial neural networks predict PRRC2A as a potent biomarker for epilepsy.

Epilepsy refers to the occurrence of two or more than two reiterative seizures. The occurrence of seizure is governed by the excessive electrical disc...

Large language models in breast cancer reconstruction: A framework for patient-specific recovery and predictive insights.

Breast cancer reconstruction, a vital part of comprehensive cancer therapy, can be performed concurrently with cancer resection, improving both physic...

Detection of COVID-19, lung opacity, and viral pneumonia via X-ray using machine learning and deep learning.

The COVID-19 pandemic has significantly strained healthcare systems, highlighting the need for early diagnosis to isolate positive cases and prevent t...

An efficient plant disease detection using transfer learning approach.

Plant diseases pose significant challenges to farmers and the agricultural sector at large. However, early detection of plant diseases is crucial to m...