Results 131 to 140 of about 16,939 (236)

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

MIF‐MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion

Protein Science, Volume 35, Issue 8, August 2026.
Abstract Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously targets myelin autoantigens within the central nervous system, leading to myelin degradation and subsequent neurological dysfunction. Identifying myelin autoantigenic peptides (MAPs) is therefore critical for understanding MS pathogenesis and ...
Watshara Shoombuatong, Nalini Schaduangrat, Pramote Chumnanpuen, Lawankorn Mookdarsanit, Pakpoom Mookdarsanit   +4 more
wiley   +1 more source

Predicting ICU mortality by supervised bidirectional LSTM networks

, 2018
Mortality prediction in the Intensive Care Unit (ICU) is considered as one of critical steps for the treatment of patients in serious condition. It is a big challenge to model time-series variables for mortality prediction in ICU, because physiological ...
X Fan (7674161), J Wu (5839088), J Shi (660810), Xiao Liu (13082469), Y Zhu (6338063), C Wang (4703686)   +5 more
core  

Detecting Opioid Misuse on Social Media via Named Entity Recognition (NER) With Deep Learning

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT The opioid overdose epidemic constitutes a critical public health crisis, necessitating advanced surveillance tools to enable timely intervention. Social media platforms provide a real‐time source of information on drug‐related behaviours. However, extracting structured knowledge from their informal, slang‐heavy and fragmented text presents ...
Muhammad Ahmad, Rita Orji, Fida Ullah, Ildar Batyrshin, Grigori Sidorov   +4 more
wiley   +1 more source

Spatial-Temporal Analysis of Earthquakes in Indonesia with Deep Learning Models: Performance Evaluation of CNN, LSTM, and Hybrid CNN-GRU

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Indonesia, located along the Pacific Ring of Fire, experiences high seismic activity with over 6,000 earthquakes annually. Accurate earthquake prediction remains a major challenge because of the complexity of geological dynamics and limitations of ...
Susandri Susandri, Fajrizal Fajrizal, Feldiansyah Bakri Nasution   +2 more
doaj   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

An Integrated Framework with ADD-LSTM and DeepLabCut for Dolphin Behavior Classification

Journal of Marine Science and Engineering
Caring for dolphins is a delicate process that requires experienced caretakers to pay close attention to their behavioral characteristics. However, caretakers may sometimes lack experience or not be able to give their full attention, which can lead to ...
Shih-Pang Tseng, Shao-En Hsu, Jhing-Fa Wang, I-Fan Jen   +3 more
doaj   +1 more source

GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT

SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.
ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed, M. Siraj Rathore, Azhar Mahmood, Muhammad Daniyal, Md Asri Ngadi   +4 more
wiley   +1 more source

A novel bidirectional LSTM deep learning approach for COVID-19 forecasting. [PDF]

Sci Rep, 2023
Aung NN, Pang J, Chua MCH, Tan HX.
europepmc   +1 more source

Three‐Dimensional Object Perception Can Emerge From Predictive Learning

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT How do infants develop the ability to perceive objects in a 3D world? The theory of core knowledge suggests infants employ a few principles, such as cohesion, continuity, rigidity, and contact, to guide inference of objects. However, it is challenging to answer how object perception can be learned with similar constraints faced by infants and ...
John Day, Tushar Arora, Jirui Liu, Li Erran Li, Ming Bo Cai   +4 more
wiley   +1 more source