Charging pile recommendation method for idle electric taxis based on recurrent neural network by Jian JIA, Linfeng LIU, Jiagao WU

Subjects: Get full text

Lightweight face image restoration algorithm based on multi-scale feature fusion by ZHAO Xiao, ZHAO Ziyi, YANG Chen

Subjects: Get full text

Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications by Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi

Subjects: Get full text

Association between some environmental risk factors and attention-deficit hyperactivity disorder among children in Egypt: a case-control study by Riham Abdelhamid Hussein, Rania Hussein Refai, Aleya Hanafy El-zoka, Hanan Galal Azouz, Mohamed Fakhry Hussein

Subjects: “…Attention-deficit hyperactivity disorder…”
Get full text

SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification by Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, Anila Usman, Ambreen Khawar, Syed Taimoor Hussain Shah, Aziz ul Rehman

“…In this work, we propose Superimposed AlexNet (SAlexNet-1 and its extension SAlexNet-2) to detect the malignancy of primary brain tumors (Glioma, Meningioma, and Pituitary) by incorporating three enhancements: (1) fusing Hybrid Attention Mechanism (HAM), (2) dense feature extraction by replacing initial convolution 11 × 11 layer with multiple convolution 3 × 3 layers for extra non-linearity alleviating parameter burden, and (3) pretraining the encoder path on a correlated dataset via semi-transfer learning (STL) enhancing model performance. …”
Get full text

Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation by Xiuxun Liu, Zuping Tang, Jiaolong Wei

“…A GNSS positioning error estimation scheme based on an improved multi-layer perceptron model is proposed. The multi-head attention mechanism and gating operation are integrated into the multi-layer perceptron model to adaptively select and filter features, enhancing the model’s ability to understand input features. …”
Get full text

Atención a la diversidad y discursos sobre lecturas en Educación Superior / Attention to diversity and discourses on readings in Higher Education by Aurora Martínez Ezquerro

“…Based on the need for this training, this study analyzes the knowledge that teachers in training (Master in Teaching, Spanish Language and Literature) have about attention to diversity through readings. Two previous objectives are proposed: the first investigates the memories of Secondary Education school experiences on de subject -quiz without prior knowledge-; the second -after a short training period- offers current readings and didactic proposals. …”
Get full text

Hubungan Pemakaian Fenobarbital Rutin dan Tidak Rutin Pada Anak Kejang Demam dengan Attention Deficit Hyperactivity Disorder (ADHD) by Sara Fadila, Nadjmir ., Rahmatini .

Get full text

Boutefeu Benoît, La forêt mise en scène, Attente des publics et scénarios de gestion de la forêt by Jean-Pierre Husson

Get full text

DFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings by Liangquan Jia, Tao Wang, Xiangge Li, Lu Gao, Qiangguo Yu, Xincheng Zhang, Shanlin Ma

Get full text

The prevalence of attention-deficit hyperactivity disorder and its associated factors among children in Ethiopia, 2024: a systematic review and meta-analysis by Molla Azmeraw, Dessie Temesgen, Amare Kassaw, Alemu Birara Zemariam, Gashaw Kerebeh, Gebremeskel Kibret Abebe, Addis Wondmagegn Alamaw, Biruk Beletew Abate

“…IntroductionAttention-deficit hyperactivity disorder (ADHD) is a neuropsychiatric condition that affects children. …”
Get full text

Treatment Preferences of Physicians Treating Adult Patients with Attention-Deficit/Hyperactivity Disorder in the United States and Canada: A Discrete Choice Experiment by Jeff Schein, Martin Cloutier, Marjolaine Gauthier-Loiselle, Maryaline Catillon, Yan Meng, Beatrice Libchaber, Fanny Jiang, Ann Childress

Subjects: Get full text

Components of cognitive–behavioural therapy for mitigating core symptoms in attention-deficit hyperactivity disorder: a systematic review and network meta-analysis by Sayo Hamatani, Kazuki Matsumoto, Yoshihiko Kunisato, Yoshifumi Mizuno

“…Question Cognitive–behavioural therapy (CBT) is frequently implemented for individuals with attention-deficit hyperactivity disorder (ADHD). It is still unknown which specific components are effective, because CBT is a complex intervention with several components. …”
Get full text

Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals by Chuang Lin, Qiong Xiao, Penghui Zhao

Subjects: Get full text

DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

Subjects: Get full text

Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

Subjects: Get full text

A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms by Lingwen Meng, Yulin Wang, Yuanjun Huang, Dingli Ma, Xinshan Zhu, Shumei Zhang

Subjects: Get full text

Effects of physical exercise on anxiety depression and emotion regulation in children with attention deficit hyperactivity disorder: a systematic review and meta-analysis by Yagang Song, Shuqi Jia, Xing Wang, Aiwei Wang, Tao Ma, Shufan Li, Jiwei Chen, Zhaohui Guo, Feng Ding, Yuxi Ren, Man Qin

Subjects: “…attention deficit hyperactivity disorder…”
Get full text

A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM: Unraveling Multilingual Sentiments in Product Reviews with Advanced Deep Learning by Amit Purohit, Pushpinder Singh Patheja

“…A novel Convolutional BiLSTM with Enhanced Attention (CoBLEA) architecture is introduced for multilingual sentiment prediction to extract comprehensive context representations. …”
Get full text

An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

Subjects: Get full text