Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis. by Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan

“…This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. …”
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Design and implementation of information system for vocational education quality assessment based on CNN-BiGRU by Yuhui Xu, Jinjun Wang

“…In the evaluation model building block, BiGRU is used to model feature sequences to capture long-term dependencies in time series data. …”
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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Firstly, the multi-scale feature fusion network is improved by adding a 160 × 160 feature scale layer in the backbone network, which is used to enhance the model’s sensitivity in the recognition of very small local features. …”
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Comparison-embedded evidence-CNN model for fuzzy assessment of wear severity using multi-dimensional surface images by Tao Shao, Shuo Wang, Qinghua Wang, Tonghai Wu, Zhifu Huang

“…Then, the wear features are identified by a contrastive learning-based extraction network (WSFE-Net) including the relative and temporal prior knowledge of wear mechanisms. …”
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Shedding light on the embryogenesis and eye development of the troglophile cave spider Tegenaria pagana C. L. Koch, 1840 (Araneae: Agelenidae) by Evgenia A. Propistsova, Guilherme Gainett, Ariel D. Chipman, Prashant P. Sharma, Efrat Gavish-Regev

“…We discuss the characteristic features of T. pagana embryogenesis and key RDN genes. …”
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Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform. by Nhu-Ngoc Dao, Minho Park, Joongheon Kim, Sungrae Cho

“…As an important part of IoTization trends, wireless sensing technologies have been involved in many fields of human life. In cellular network evolution, the long term evolution advanced (LTE-A) networks including machine-type communication (MTC) features (named LTE-M) provide a promising infrastructure for a proliferation of Internet of things (IoT) sensing platform. …”
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College Student Social Dynamic Analysis and Educational Mechanism Using Big Data Technology by Jing Bai

“…In order to objectively achieve the real office of college students’ material enlightenment penetration in the mobile-friendly network, we choose the popular mobile social network, and we apply the natural clustering algorithm rules to segment the college students. …”
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A computational lens into how music characterizes genre in film. by Benjamin Ma, Timothy Greer, Dillon Knox, Shrikanth Narayanan

“…We examine the best-performing MIR feature model through permutation feature importance (PFI), determining that mel-frequency cepstral coefficient (MFCC) and tonal features are most indicative of musical differences between genres. …”
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Improved image reconstruction from brain activity through automatic image captioning by Fatemeh Kalantari, Karim Faez, Hamidreza Amindavar, Soheila Nazari

“…This module employs a deep generator network (DGN) to produce images and utilizes a VGG19 network to extract visual features from the generated images. …”
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Sentiment analysis of user reviews: exploring Duolingo and Babbel in English language learning by Husnat Ahmed Tabssam, Saima Akhtar Chattha, Muhammad Farooq Javeed, Ali Hayat

“…By employing a mixed-methods approach that integrates sentiment analysis, network analysis, and linguistic features analysis, a dataset of 190 user reviews for each application collected from app review platforms has been analysed. …”
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Diffusion probabilistic model for Tibetan painted sketch extraction by Fubo Wang, Shengling Geng, Zeyu Jia, Mingcong Dang

“…Moreover, to minimize errors and distortions in the generated sketchs, the fused output features are processed by a Generative Adversarial Network (GAN) to predict the final effect of the Tibetan painting sketchs. …”
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Remote Sensing Image Dehazing via Dual-View Knowledge Transfer by Lei Yang, Jianzhong Cao, He Bian, Rui Qu, Huinan Guo, Hailong Ning

“…This enables the student network to learn hierarchical and cross-layer dehazing knowledge from the teacher network, thereby extracting compact and effective features. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…This enhancement strengthened the network's ability to extract both local key features and global contextual information pertaining to rice disease-affected areas. …”
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Semantic segmentation of optical satellite images for the illegal construction detection using transfer learning by Yashasvi Mehta, Abdullah Baz, Shobhit K. Patel

“…It employs a diverse range of machine learning models, including the U-Shaped Network and Visual Geometry Group, and incorporates customized evaluation metrics that are not typically found in earlier research. …”
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Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study by Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni

“…ConclusionsConsidering the dynamic nature of suicidal behavior posts, we proposed a fused architecture that captures both localized and generalized contextual information that is important for understanding the language patterns and predict the evolution of suicidal ideation over time. According to Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP) XAI algorithms, there was a drift in the features during and before COVID-19. …”
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Explainable Deep Learning to Predict Kelp Geographical Origin from Volatile Organic Compound Analysis by Xuming Kang, Zhijun Tan, Yanfang Zhao, Lin Yao, Xiaofeng Sheng, Yingying Guo

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Port Contention Aware Task Scheduling for SIMD Applications by Shogo Saito, Kei Fujimoto

“…Through evaluation, we find that the proposed method can reduce the processing time for some tasks in virtual radio access networks was reduced by 13.3%.…”
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An intelligible AI-driven decision support system for poststroke mobility assessment by Jin Cheng Liaw, Dominik Raab, Malte Weber, Mario Siebler, Harald Hefter, Dörte Zietz, Marcus Jäger, Andrés Kecskeméthy, Francisco Geu Flores

“…From each measured stride pair, 680 features were extracted. After removing non-discriminating features, two regression models were trained: a decision tree and a multilayer perceptron artificial neural network. …”
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Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…The proposed method was tested on the Poyang Lake wetland in China using Sentinel-1 and Sentinel-2 imagery. The evaluation results show that the overall accuracy of HiWet-DBNet reaches 88.51% and 88.61% in the dry and wet seasons, which is superior to the other solutions with only a single data source or insufficient fusion of multi-modal features. …”
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HOW TO CREATE BUSINESS PERFORMANCE MANAGEMENT (BPM) SYSTEM by B. Ye. Odintsov, A. N. Romanov

“…The performance management is a new approach based on the evolution of the well-known principles and laws of business management. …”
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