Results 81 to 90 of about 15,297,754 (301)

Detecting Spamming Reviews Using Long Short-term Memory Recurrent Neural Network Framework

, 2018
Some unethical companies may hire workers (fake review spammers) to write reviews to influence consumers' purchasing decisions. However, it is not easy for consumers to distinguish real reviews posted by ordinary users or fake reviews post by fake review
Jia-Wei Liou, Chien-Chang Chen, Wang, Chih-Chien;Day, Min-Yuh;Chen, Chien-Chang;Liou, Jia-Wei, Chih-Chien Wang, Min-Yuh Day   +4 more
core   +1 more source

Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation

International Journal of Distributed Sensor Networks, 2019
Accurate prediction of the generation capacity of photovoltaic systems is fundamental to ensuring the stability of the grid and to performing scheduling arrangements correctly.
Chi Hua, Erxi Zhu, Liang Kuang, Dechang Pi   +3 more
doaj   +1 more source

Bidirectional Long Short-Term Memory Network for Vehicle Behavior Recognition

Remote Sensing, 2018
Vehicle behavior recognition is an attractive research field which is useful for many computer vision and intelligent traffic analysis tasks. This paper presents an all-in-one behavior recognition framework for moving vehicles based on the latest deep ...
Jiasong Zhu, Ke Sun, Sen Jia, Weidong Lin, Xianxu Hou, Bozhi Liu, Guoping Qiu   +6 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Activity location recognition from mobile phone data using improved HAC and Bi‐LSTM

IET Intelligent Transport Systems, 2022
Existing studies on activity location recognition based on mobile phone data has made great progresses. However, current studies generally assume constant distance threshold when performing activity location clustering, and ignore the influence of base ...
Haihang Jiang, Fei Yang, Weijie Su, Zhenxing Yao, Zhuang Dai   +4 more
doaj   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source

Neural correlates of enhanced visual short-term memory for angry faces: An fMRI study [PDF]

, 2008
Copyright: © 2008 Jackson et al.Background: Fluid and effective social communication requires that both face identity and emotional expression information are encoded and maintained in visual short-term memory (VSTM) to enable a coherent, ongoing picture
Jackson, MC, David E J Linden, Johnston, Stephen J, Stephen J Johnston, Raymond, Jane E, Raymond, Jane E., Jackson, Margaret C, Jane E Raymond, Linden, David Edmund Johannes, Johnston, Stephen J., Johnston, SJ, Jackson, Margaret C., Wolf, C, Wolf, Claudia, Margaret C Jackson, Claudia Wolf, Raymond, JE, Linden, DEJ, Linden, David E J   +18 more
core   +2 more sources

Short‐term and long‐term memory self‐attention network for segmentation of tumours in 3D medical images

CAAI Transactions on Intelligence Technology, 2023
Tumour segmentation in medical images (especially 3D tumour segmentation) is highly challenging due to the possible similarity between tumours and adjacent tissues, occurrence of multiple tumours and variable tumour shapes and sizes.
Mingwei Wen, Quan Zhou, Bo Tao, Pavel Shcherbakov, Yang Xu, Xuming Zhang   +5 more
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source