Hybrid Spectrum Sensing Using Neural Network–Based MF and ED for Enhanced Detection in Rayleigh Channel by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…Spectrum sensing (SS) is an integral part of cognitive radio systems, allowing for dynamic spectrum access and efficient exploitation of scarce spectral resources. …”
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Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification by Jonathan Schler, Elisheva Bonchek-Dokow

“…In politics, astroturfing is currently considered one of the most severe online threats to democracy. The ability to automatically identify astroturfers thus constitutes a first step in eradicating this threat. …”
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Detecting changes in retinal function: Analysis with Non-Stationary Weibull Error Regression and Spatial enhancement (ANSWERS). by Haogang Zhu, Richard A Russell, Luke J Saunders, Stefano Ceccon, David F Garway-Heath, David P Crabb

“…ANSWERS is a new efficient method for detecting changes in retinal function. …”
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YOLOv8-DBW: An Improved YOLOv8-Based Algorithm for Maize Leaf Diseases and Pests Detection by Xiang Gan, Shukun Cao, Jin Wang, Yu Wang, Xu Hou

“…Additionally, BiFPN was introduced to construct a bidirectional feature pyramid structure, which realized efficient information flow and fusion between different scale features and enhanced the feature fusion ability of the model. …”
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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

“…In this regard, the current study presents a novel framework involving four standalone ML models (extra trees (ET), random forest (RF), categorical boosting (CatBoost), and extreme gradient boosting (XGBoost)) and their combination with genetic programming (GP). Three metrics (coefficient of correlation (r), root mean square error (RMSE), and Nash–Sutcliffe model-fit efficiency (NSE)) and a more advanced interpretation system SHapley Additive exPlanations (SHAP) are used to assess the performance of these models applied to hydro-climatic datasets for prediction of SSC. …”
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Prior guided deep difference meta-learner for fast adaptation to stylized segmentation by Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve Jiang

“…The improved segmentation accuracy may result in reduced contour editing time, providing a more efficient and streamlined clinical workflow.…”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…GNNSeq was designed with a strong emphasis on computational efficiency, training on 5000+ complexes in 1 h and 32 min, with real-time affinity predictions for test complexes. …”
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Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Haomiao Zhang, Qing Liu

“…The traditional optimization algorithm of communication resource allocation in a complex network has the disadvantage of weak antijamming ability, and the communication quality decreases obviously when the number of users is large. …”
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CNN-Based Image Segmentation Approach in Brain Tumor Classification: A Review by Nurul Huda, Ku Ruhana Ku-Mahamud

“…This study explores the application of Convolutional Neural Networks (CNNs) for brain tumor segmentation, leveraging their ability to automatically extract hierarchical features from medical images. …”
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Investigation of Geometric Characteristics on the Lubricant Performance of Thrust Bearing with Cavitation by L. Kailei, C. Jiayuan, Z. Haoran, Z. Lin, W. Xuze, C. Yu

“…The computational model would be crafted to provide an efficient solution while maintaining the ability to accurately represent the hydrodynamic behavior of spiral grooved thrust bearing. …”
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Phytoremediation of Mercury Contaminated Soils by Swietenia macrophylla Inoculated with Arbuscular Mycorrhizal Fungi (Acaulospora sp.) by Mei Jayani Faradila, Faridah Eny, Nurjanto Handojo Hadi, Riniarti Melya

“…This study aimed to analyze the ability of S. macrophylla inoculated with AMF in Hg phytoremediation. …”
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Emerging Noninvasive Biomolecular Checkpoints for Healthy Microbiomes by A. Dahl, M. J. Pugia

“…Overwhelming the immune system reduces the ability of monocytes (CD14) to transform into macrophages and impairs the energy-yielding metabolism signaling of adipokines, lowering the ability to improve cardiorespiratory fitness (CRF) or achieve significant weight loss. …”
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A Novel Artificial Bee Colony Approach of Live Virtual Machine Migration Policy Using Bayes Theorem by Gaochao Xu, Yan Ding, Jia Zhao, Liang Hu, Xiaodong Fu

“…One is that it combines the artificial bee colony (ABC) idea with the uniform random initialization idea, the binary search idea, and Boltzmann selection policy to achieve an improved ABC-based approach with better global exploration’s ability and local exploitation’s ability. The other one is that it uses the Bayes theorem to further optimize the improved ABC-based process to faster get the final optimal solution. …”
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Selection of Infective Arbuscular Mycorrhizal Fungal Isolates for Field Inoculation by Elisa Pellegrino, Chandra Kamatchi Ramasamy, Cristiana Sbrana, Paolo Barberi, Manuela Giovannetti

“…AM fungi differ in their symbiotic performance, which is the result of the interaction of two fungal characters, infectivity and efficiency. Infectivity is the ability of a fungal isolate to establish rapidly an extensive mycorrhizal symbiosis and is correlated with pre-symbiotic steps of fungal life cycle, such as spore germination and hyphal growth. …”
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QSA-QConvLSTM: A Quantum Computing-Based Approach for Spatiotemporal Sequence Prediction by Wenbin Yu, Zongyuan Chen, Chengjun Zhang, Yadang Chen

“…The ability to capture long-distance dependencies is critical for improving the prediction accuracy of spatiotemporal prediction models. …”
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VLA-Grasp: a vision-language-action modeling with cross-modality fusion for task-oriented grasping by Jianwei Zhu, Xueying Sun, Qiang Zhang, Mingmin Liu

“…While recent approaches have incorporated semantic knowledge into TOG models to enable robots to understand linguistic commands, they lack the ability to leverage relevant information from vision, language, and action. …”
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Proposal of a Non-Dominant Hand Training Device Utilizing Flexion/Extension Vibration Sensory Feedback Based on Image Sensing by Shuji Saburi, Hajime Nobuhara

“…The utilization of the non-dominant hand contributes to improving the efficiency of hand movements. However, traditional training methods require substantial time to master, making it important to find more efficient ways to improve drawing ability within a limited timeframe. …”
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Dynamic activation and enhanced image contour features for object detection by Jun Wu, Jiahui Zhu, Xin Tong, Tianliang Zhu, Tianyi Li, Chunzhi Wang

“…This paper proposes a lightweight and efficient object detection model based on YOLOv4, first using the lightweight network GhostNet to extract image features and reduce the number of parameters and computation of the backbone structure; then combining AFmodule and Meta-ACON activation function to enhance the feature extraction capability of the backbone network, which strengthen the mode’s ability to capture image spatial feature information; this paper also designs the RL-PAFPN feature fusion structure is with the Reslayer module to further improve the model’s ability to extract and fuse image features. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Our framework has two types of workflows depending on if external OOD data is available, the complexity of the original training loss is sharply reduced by adopting this modification, meanwhile, the adapted ability and detection performance are enhanced. Also, we contribute a mini dataset as a light and efficient alternative of the previous large-scale one. …”
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Trajectory Planning of Unmanned Aerial Vehicles in Complex Environments Based on Intelligent Algorithm by Zhekun Cheng, Jueying Yang, Jinfeng Sun, Liangyu Zhao

“…Ultimately, this review provides practical guidance for developing intelligent trajectory planning methods for UAVs to achieve the minimal amount of time spent on computation, efficient dynamic collision avoidance, and superior task completion ability.…”
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