Multiple receiver specific emitter identification by Liting Sun, Zheng Liu, Zhitao Huang

“…Therefore, extracted features can be shared among different receivers and platforms, and can even be applied to newly added receivers. …”
Get full text

DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking, and Loop Closing by Hao Qu, Lilian Zhang, Jun Mao, Junbo Tie, Xiaofeng He, Xiaoping Hu, Yifei Shi, Changhao Chen

“…To mitigate cumulative positioning errors, DK-SLAM incorporates a novel online learning module that utilizes binary features for loop closure detection. …”
Get full text

Model morphing supported large scale crop type mapping: A case stuy of cotton mapping in Xinjiang, China by Longcai Zhao, Taifeng Dong, Xin Du, Bing Dong, Qiangzi Li

“…The results demonstrate that: 1) The sequence of knowledge model can effectively capture feature differences between cotton and non-cotton throughout the growing period, resulting in knowledge feature has a higher separability compared to original spectral and vegetation index features; 2) Segmenting knowledge features with Unet enables effective mapping cotton and non-cotton without ground samples. …”
Get full text

Non-Homogeneous Image Dehazing Model Based on Vision Transformer Shunt Self-Attention Aggregation by Zhigang Zhang, Byung-Won Min, Zijiao Zhang

“…This module, leveraging a multi-head parallel self-attention mechanism, facilitates the efficient fusion of features across multiple scales, thereby enhancing feature reuse and integration. …”
Get full text

A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture by Nitthita Chirdchoo, Suvimol Mukviboonchai, Weerasak Cheunta

“…An Artificial Neural Network (ANN) model, utilizing these features, accurately predicts shrimp weight with a coefficient of determination (R2) of 94.50% when incorporating all extracted features. …”
Get full text

M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy by Nalini Schaduangrat, Hathaichanok Chuntakaruk, Thanyada Rungrotmongkol, Pakpoom Mookdarsanit, Watshara Shoombuatong

“…Finally, M3S-GRPred was constructed by integrating probabilistic feature from the selected base-classifiers derived from a two-step feature selection technique. …”
Get full text

GaN HEMTs-based compact power factor corrected 96.1% peak efficiency LED driver with gate assisted circuit by Muhammad Faizan, Zhengfang Qian, Hua Zhu, Shuting Fan, Muhammad Zain Yousaf, Mohit Bajaj, Chen Zhichu, Asad Aziz

“…In this paper, an LED driver is presented for high input voltage with low bus voltage that features very low noise, low total harmonic distortion (THD), high PF and high power efficiency by using fully soft switching mechanism, i.e. the negligible switching losses. …”
Get full text

Image-Level Anti-Personnel Landmine Detection Using Deep Learning in Long-Wave Infrared Images by Jun-Hyung Kim, Goo-Rak Kwon

“…Furthermore, to mitigate the reliance of trained models on irrelevant features such as artificial or natural structures in the background, we introduce an inpainting-based image augmentation method. …”
Get full text

Unpaired Image-to-Image Translation with Diffusion Adversarial Network by Hangyao Tu, Zheng Wang, Yanwei Zhao

“…Unpaired image translation with feature-level constraints presents significant challenges, including unstable network training and low diversity in generated tasks. …”
Get full text

A Comparative Evaluation of Machine Learning-Based Intrusion Detection Systems for Securing Cloud Environments by Mohammad Shadi Alhakeem, Khawla Bin Ajlan

“…In this context, implementing robust protection measures, such as Intrusion Detection Systems (IDS), is essential to mitigate potential threats and safeguard sensitive data. …”
Get full text

A CNN-LSTM model for road surface recognition of electric balance vehicles by Feifei Yu, Yongxian Huang, Canyi Du, Feng Li, Yongkang Gong, Guoyan Chen

“…XGBoost is applied on artificial feature extraction data and the other models are applied on original sequence data. …”
Get full text

DualAD: Dual adversarial network for image anomaly detection⋆ by Yonghao Wan, Aimin Feng

“…On the other hand, the authors utilise adversarial training of the FC module and the reconstruction module to achieve superior feature representation, making anomalies more distinguishable at the feature level. …”
Get full text

A data driven approach to urban area delineation using multi source geospatial data by Chenyu Fang, Lin Zhou, Xinyue Gu, Xing Liu, Martin Werner

“…Using Bavaria, Germany, as a case study, we demonstrate that feature engineering effectively reduces noise and mitigates common DBSCAN clustering pitfalls by filtering out irrelevant and autocorrelated data. …”
Get full text

An improved EAE-DETR model for defect detection of server motherboard by Jian Chi, Mingke Zhang, Puhon Zhang, Guowang Niu, Zhihao Zheng

“…Subsequently, we introduced the AIFI-ASSA module, designed to mitigate background noise interference and improve sensitivity to minor defects by employing an adaptive sparse self-attention mechanism. …”
Get full text

Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems by Saud S. Alotaibi, Turki Ali Alghamdi

“…This study presents a League Championship Algorithm Feature Selection with Optimal Deep Learning based Cyberattack Detection (CLAFS-ODLCD) technique for securing the digital ecosystem. …”
Get full text

A New Hybrid Intelligent Method for Accurate Short Term Electric Power Production Forecasting From Uncertain Renewable Energy Resources by Gholamreza Memarzadeh, Farshid Keynia, Faezeh Amirteimoury, Rasoul Memarzadeh, Hossein Noori

“…The suggested hybrid model employs the Modified Relief-Mutual Information (MRMI) feature selection technique to identify the most influential input data for prediction. …”
Get full text

MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…Furthermore, we explore the Soft-NMS algorithm to effectively mitigate small object occlusion and reduce missed detection. …”
Get full text

Decadal Trends and Drivers of Dust Emissions in East Asia: Integrating Statistical and SHAP-Based Interpretability Approaches by Ziwei Yi, Yaqiang Wang, Zhaoliang Zeng, Weijie Li, Huizheng Che, Xiaoye Zhang

Get full text

A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…Three objective functions—integral-type (<i>F</i>₁), feature-driven (<i>F</i>₂), and hybrid (<i>F</i>₃)—were systematically compared using experimental data from a C40 concrete specimen under controlled curing. …”
Get full text

Closed-Loop Aerial Tracking with Dynamic Detection-Tracking Coordination by Yang Wang, Heqing Huang, Jiahao He, Dongting Han, Zhiwei Zhao

Get full text