Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…In adaptive neural fuzzy inference, the network separation method or lookup table (PG) was used in MATLAB 2023 software. …”
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Evaluating the Impact of Oral Contraceptives on Pancreatic Cancer Risk: A Two-Sample Mendelian Randomization Analysis by Yuxin Tang, Yu Zhang, Shuaiyi Wang, Xinyi Shi, Xinjia Ruan, Yu Cheng, Fangrong Yan, Tiantian Liu

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Learning physics and temporal dependencies: real-time modeling of water distribution systems via Kolmogorov–Arnold attention networks by Zekun Zou, Zhihong Long, Gang Xu, Raziyeh Farmani, Tingchao Yu, Shipeng Chu

“…Additionally, a multi-equation soft-constraint formulation embeds mass and energy conservation laws into the loss function, mitigating cumulative errors and enhancing physical consistency. Evaluations on a benchmark network and a real-world system demonstrate that KANSA achieves high-accuracy real-time estimation and pattern fidelity while maintaining engineering-grade hydraulic balance.…”
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DESIGN OF A 2.45 GHZ COMPACT WEARABLE ANTENNA FOR WIRELESS BODY AREA NETWORKS AND INDUSTRIAL WIRELESS APPLICATIONS by D Ramesh Varma, M. Murali, M. Vamshi Krishna, M. Venkata Subbarao

“…The design process involves meticulous optimization to maximize the antenna's bandwidth, enabling fast and reliable wireless data transmission within the WBAN network. The antenna's characteristics, such as radiation pattern, gain, and impedance matching, are thoroughly evaluated through extensive simulations using specialized software. …”
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Aggregated approach for interstitial lung diseases classification using attention based CNN and radial basis function neural network by S. Kumarganesh, K.V.M. Shree, P. Rishabavarthani, C. Ganesh, S. Anthoniraj, B. Thiyaneswaran, Lam Dang, K. Martin Sagayam, Linh Dinh, Hien Dang

“…The reduced features were then trained and tested using a radial basis function neural network (RBFNN). In parallel, an attention-based convolutional neural network was used to perform deep learning-based ILD classification using gray and local pattern images. …”
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Characterizing the Flow and Interaction of Microbubbles in a 2D Capillary Network for Targeted Drug Delivery: A Simulation Study by Sadegh Shurche, Akram Shahidani, Roghaye Bodaghi Hossein Abadi

“…The present study assesses how air bubbles flow in a microchannel 2D capillary network. The evaluated network mimics part of a capillary system by comprising multiple bifurcations. …”
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DAC-GCN: A Dual Actor-Critic Graph Convolutional Network with Multi-Hop Aggregation for Enhanced Recommender Systems by Gholamreza Zare, Nima Jafari, Mehdi Hosseinzadeh, Amir Sahafi

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Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture by Zhizhou Zhang, Changle Jiang, Meiqi Lu

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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…This indicates that the graph convolutional network can be generalized to the prediction of heterogeneous data based on the complex patterns of molecular protein binding that have been learned. …”
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Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning by Rongpei Li, Yufang Zhang, Heqi Sun, Shenggeng Lin, Guihua Jia, Yitian Fang, Chen Zhang, Xiaotong Song, Jianwei Zhao, Lyubin Hu, Yajing Yuan, Xueying Mao, Jiayi Li, Aman Kaushik, Dandan An, Dongqing Wei

“…Bayesian calibration improved adverse event detection accuracy (94% vs. 54% AUC), while network pharmacology revealed key molecular mechanisms through enzyme-transporter interactions. …”
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Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

“…The proposed model introduces a novel adaptive basis layer composed of micro-networks tailored to each individual time-series feature, enabling end-to-end learning of discriminative temporal patterns directly from raw data. …”
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Use of Educational Animated Videos by Kidney Transplant Seekers and Social Network Members in a Randomized Trial (KidneyTIME) by Liise K. Kayler, Jing Nie, Anne Solbu, Maria Keller, Matthew Handmacher

“…Animated video could improve the reach of health education to kidney transplant (KT) seekers and their social network. Usage outcomes are rarely considered. This exploratory study aims to investigate use patterns of an animated video-based intervention (<i>KidneyTIME</i>) and examined associations with patient characteristics. …”
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Des transports publics pour tous ? Une évaluation des arrêts de la STIB à Bruxelles by Frédéric Dobruszkes, Martin Grandjean, Arthur Nihoul, Julien Descamps

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Deep vision-based real-time hand gesture recognition: a review by Cui Cui, Mohd Shahrizal Sunar, Goh Eg Su

“…The choice of evaluation metrics and dataset is critical since different tasks require different evaluation parameters, and the model learns more patterns and features from diverse data. …”
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Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

“…This elucidates the impact patterns of these parameters and their coupling states on the safety factor. …”
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Modelling of agricultural land dynamics using artificial neural networks and geospatial analysis in Melur Taluk, Tamil Nadu, India by Gowthaman M S, Murugasan R, Srinivasa Raju K, Makendran C

“…The artificial neural network (ANN) time series framework was used to study previous and future trends by evaluating historical data and forecasting patterns in socio-economic and other physical and environmental variables. …”
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Influence of Regional PM2.5 Sources on Air Quality: A Network-Based Spatiotemporal Analysis in Northern Thailand by Khuanchanok Chaichana, Supanut Chaidee, Sayan Panma, Nattakorn Sukantamala, Neda Peyrone, Anchalee Khemphet

“…Trophic coherence analysis was used to evaluate the hierarchical structure and seasonal stability of the resulting networks. …”
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Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…A Conv1D extracts spatial features from network traffic, GRU captures temporal dependencies, and Self-Attention emphasizes critical sequence components, collectively enhancing detection of subtle and complex intrusion patterns. …”
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Music audio emotion regression using the fusion of convolutional neural networks and bidirectional long short-term memory models by Yi Qiu, Yu Lin, Yun Lin

“…This research presents an innovative model that combines convolutional neural networks (CNNs) with bidirectional long short-term memory (BiLSTM) networks to analyze and predict the emotional impact of musical audio. …”
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Quantifying Three-Dimensional Street Network Orientation Entropy in Chongqing, China: Implications for Urban Spatial Order and Environmental Perception by Hao Rao, Leyao Chen, Cui Liu

“…Although no statistically significant correlation was observed, the findings suggest emerging patterns and underscore the necessity of multidimensional frameworks in evaluating urban spatial experience. …”
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