Results 71 to 80 of about 2,780,368 (218)
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text [PDF]
Complex Intell Systems, 2022 Shaaban MA, Hassan YF, Guirguis SK.
europepmc +2 more sources
Developmental Medicine &Child Neurology, Volume 68, Issue 10, Page 1398-1411, October 2026.Graphical abstract illustrating the four key themes identified in this study. From the perspective of young people with neuromotor disabilities, shared digital portals could improve interprofessional coordination and promote competence, autonomy, and relatedness in rehabilitation care. This original article is commented by Nossell on pages 1332 of this
Marietta Kersalé +7 more
wiley +1 more source
An Attention-Based Graph Neural Network for Spam Bot Detection in Social Networks
Applied Sciences, 2020 With the rapid development of social networks, spam bots and other anomaly accounts’ malicious behavior has become a critical information security problem threatening the social network platform.
Chensu Zhao +5 more
doaj +1 more source
Expert Systems, Volume 43, Issue 10, October 2026.ABSTRACT This study presents a comprehensive methodology for processing multilingual customer support data to prepare it for training AI‐based conversational systems. Using a dataset of 36,599 unique customer interactions from a Finnish energy company, we employed language‐specific BERT models to identify and analyse thematic patterns within customer ...
Joona Mäntyvaara +2 more
wiley +1 more source
Doing sentiment analysis task using BERT NasNet-mobile optimized by improved multi-verse optimizer [PDF]
AIP AdvancesIdentifying spam is essential to ensure the reliability of online platforms, such as Twitter and Reddit, which spammers can exploit to spread harmful content.
Qian Zhang +3 more
doaj +1 more source
A deployed investigative AI search engine for combating human trafficking at web scale
AI Magazine, Volume 47, Issue 3, Fall 2026.Abstract Online human trafficking investigations generate vast amounts of noisy, heterogeneous, and deliberately obfuscated data, making traditional search and analytics tools ineffective for supporting law enforcement. This paper discusses the deployment of the Domain‐Specific Insight Graphs (DIG) system, an AI‐powered investigative search engine that
Mayank Kejriwal
wiley +1 more source
SHRED: An Ensemble-Based Machine Learning Model to Sift Email Messages for Real-Time Spam Detection
IEEE AccessThe rapid expansion of email usage has been paralleled by a significant rise in spam, which not only clutters inboxes but also spreads malware and introduces serious security threats.
Shahid Alam +3 more
doaj +1 more source
Enhanced email spam filtering using spectral clustering and deep neural networks [PDF]
مجلة جامعة الانبار للعلوم الصرفةThe vast growth in email communications has resulted in an overwhelming increase in unsolicited email, making it challenging to filter properly. This study proposes a novel spam detection approach called SCDNN, which adapts spectral clustering and deep ...
Sahar Ahmed, Hadeel Saleh, Sameer Alani
doaj +1 more source
Food and Energy Security, Volume 15, Issue 5, September/October 2026.ABSTRACT Irrigation plays an essential role for crop production, but unreasonable irrigation is accelerating the depletion of water resources and exacerbating nitrogen (N) losses. Optimal water management (OWM) is critical for improving crop yield and decreasing N losses.
Xingshuai Tian +4 more
wiley +1 more source
Molecularly imprinted polymers based electrochemical sensors for biomarker detection in biofluids
InfoScience, Volume 3, Issue 3, September 2026.This review systematically summarizes the evolution of molecularly imprinted polymer electrochemical sensors from bulk structures to advanced nano‐imprinted architectures. It decouples the complex matrix effects of clinical biofluids and evaluates interfacial engineering strategies for anti‐biofouling.
Tianrui Zhu +7 more
wiley +1 more source