Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals by R. Nandakumar, Rajesh Arunachalam, R Pugalenthi, Karthikayen Arunachalam

“…Then, the resultant features are fused with the optimized weight and it is designated as F2. …”
Get full text

Entrepreneurial Orientation of Russian Firms: The Role of External Environment by Galina Shirokova, Karina Bogatyreva, Tat'yana Belyaeva

“…Particular features of Russia’s institutional and cultural environment may help to explain our findings. …”
Get full text

Features of labor relations legal regulation of the preschool education institutions employees by S. V. Vasyliev, M. V. Bratko

“…Such misconduct can only be committed while performing work duties.…”
Get full text

Camouflage Target Detection Method with Mutual Compensation of Local-Global Features by HE Wenhao, GE Haibo

“…Then, a local-global feature   interaction module (L-GFIM) is constructed to average local features to obtain global features, and perform mutual compensation of local features and global features. …”
Get full text

Feature Coding and Graph via Transformer: Different Granularities Classification for Aircraft by Jianghao Rao, Senlin Qin, Zongyan An, Jianlin Zhang, Qiliang Bao, Zhenming Peng

“…Through further research based on this, we proposed a better understanding of encoding and reuse for features, and innovatively performed feature coding graphically for classification. …”
Get full text

Histopathologic features and parameters predicting recurrence potential of small renal masses by Senad Bajramović, Berina Hasanović, Jasmin Alić, Nirvana Šabanović Bajramović, Damir Aganović

“…The radical nephrectomy/partial nephrectomy ratio was 1:44, and autotransplantation was performed in a single case. Variables associated with metastatic recurrence of SRM were analyzed using χ2 and logistic regression models. …”
Get full text

The role of individual ambidexterity on organizational performance by Zahra Rajaei, Fereydon Ramazani, Seyed Hossein Behdani

“…This study contributes to the enrichment of resources on individual ambidexterity with an emphasis on performance improvement features. Based on the findings of the present study, practical and research suggestions are provided, including a special focus on individual ambidexterity and knowledge seeking and exploration to enhance organizational performance.…”
Get full text

MLP-SVM: a hybrid approach for improving the performance of the classification model for health-related documents from social media using multi-layer perceptron and support vector... by Etana Fikadu, Teklu Urgessa, Mrinal Das

“…This experimental result presents that the hybrid model is able to enhance the performance of the classifier alone.…”
Get full text

A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

“…In the pre-training stage, MASKT uses a random forest method to filter out positive and negative correlation feature embeddings; then, it reuses noise-processed restoration tasks to extract more learnable features and enhance the learning ability of the model. …”
Get full text

Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: A comparison of machine learning tools and feature selection approaches by Fatemeh Salek, Seyed Ahmad Mireei, Abbas Hemmat, Mehrnoosh Jafari, Mohammad R. Sabzalian, Majid Nazeri, Wouter Saeys

“…Feature selection methods were applied to extract the most informative wavebands, and ANN was used to build predictive models. …”
Get full text

Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

“…This study addresses the performance of deep learning models for predicting human DNA sequence classification through an exploration of ideal feature representation, model architecture, and hyperparameter tuning. …”
Get full text

Desenvolvimento de um modelo para avaliar a sustentabilidade corporativa Development of a model for corporate sustainability assesment by Fábio Cristiano Zamcopé, Leonardo Ensslin, Sandra Rolim Ensslin

“…The model allowed decision makers to understand the key sustainability issues and actions needed to resolve them, and provide performance measurement and evaluation of progress toward continuous improvement. …”
Get full text

Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…The hybrid model leverages DenseNet201’s efficient feature reuse and InceptionV3’s capacity for handling multi-scale and hierarchical features through fine-tuning and feature fusion techniques. …”
Get full text

A novel efferocytosis-related gene signature for predicting prognosis and therapeutic response in bladder cancer by Weitao Yu, Dongnuan Yao, Xueming Ma, Juanjuan Hou, Junqiang Tian

Get full text

Decoding the shadows: multi-modal identity profiling in darknet markets using latent behavior feature fusion by Xuan Zhang, Pengfei Li, Xin Tong, K. P. Chow, DeYu Yuan, Si Chen, Bo Jin

“…It also demonstrates superior performance compared to large pre-trained models like GPT-4, especially in identifying high-stickiness vendor groups in Darknet markets. …”
Get full text

Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

“…Finally, the performance of the different ML models was comprehensively evaluated using tenfold cross-validation and multiple performance metrics. …”
Get full text

Multi-target detection of underground personnel based on an improved YOLOv8n model by WEN Yongzhong, JIA Pengtao, XIA Mingao, ZHANG Longgang, WANG Weifeng

“…An Adaptive Spatial Feature Fusion (ASFF) module was embedded in the Head layer to boost detection performance for small-scale targets. …”
Get full text

Constrained search space selection based optimization approach for enhanced reduced order approximation of interconnected power system models by Bala Bhaskar Duddeti, Asim Kumar Naskar, V. P. Meena, Jitendra Bahadur, Ibrahim A. Hameed

Get full text

Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions by Cheng Qian, João Alexandre Lobo Marques, Auzuir Ripardo de Alexandria, Simon James Fong

“…Key performance metrics, including test accuracy, training time, and weight file size, were analyzed to assess the learning efficiency, generalization capabilities, and architectural innovations of each model. …”
Get full text

A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events by Muhammad Salman Pathan, Pardhu Nadella, Yasin Ul Haq, Soumini Chaudhury, Jiantao Wu, Avishek Nag, Soumyabrata Dev

“…The study also conducts a thorough assessment of prediction performance of various ML and deep learning (DL) techniques such as Classification and Regression Trees (CART), Support Vector Machine (SVM) and Dense Neural Networks (DNN).The findings show that the models using only the important meteorological features in the dataset perform better than using all the features. …”
Get full text