Enhancing V2X Security Through Combined Rule-Based and DL-Based Local Misbehavior Detection in Roadside Units by Seungyoung Park, Duksoo Kim, Seokwoo Lee

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A Novel Three-Dimensional Direction-of-Arrival Estimation Approach Using a Deep Convolutional Neural Network by Constantinos M. Mylonakis, Zaharias D. Zaharis

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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

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Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview by Dinusha Maramba Gamage, Madhawa Ranasinghe, Venkata Dinavahi

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KRİPTO PARA FİYATLARININ LSTM VE GRU MODELLERİ İLE TAHMİNİ by Meltem Karaatlı, Esranur Demirci

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Neuroevolutionary reinforcing learning of neural networks by Y. A. Bury, D. I. Samal

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Yaşam Seyrindeki Öğrenme Yolları: Yaşam Boyu, Yaşam Genişliğinde ve Yaşam Derinliğinde by Gulden Akın

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Pedestrian navigation: how can inertial measurment units assist smartphones? by I. A. Chistyakov, I. V. Grishov, A. A. Nikulin, M. V. Pikhletsky, I. B. Gartseev

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Protein Identification Improvement in Complex Samples Using Higher Frequency MS Acquisition and PEAKS Software by Arman Kulyyassov, Saya Makhsatova, Aruzhan Kurmanbay

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Automatiс Translation Process and Translation Technologies Advancement on International Translation Market: the Current Status and Development Trends by T. I. Makarevich

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Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems by Dumitru Baleanu, Yeliz Karaca

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A Clonal Selection Optimization System for Multiparty Secure Computing by Minyu Shi, Yongting Zhang, Huanhuan Wang, Junfeng Hu, Xiang Wu

“…The innovation of the deep learning modeling scheme plays an important role in promoting the research of complex problems handled with artificial intelligence in smart cities and the development of the next generation of information technology. …”
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Perbandingan Pretrained Model Transformer pada Deteksi Ulasan Palsu by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Fitri Utaminingrum

“…Model RoBERTa mengungguli model Transformer dan deep learning dimana nilai akurasi 90,8%; precision 90%; recall 91,8% dan f1-score 90,8%. …”
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Perbandingan Kinerja Inception- Resnetv2, Xception, Inception-v3, dan Resnet50 pada Gambar Bentuk Wajah by Fitriana Masruroh, Bayu Surarso, Budi Warsito

“…Berbagai pengoptimal deep learning diantaranya; transfer learning, optimizer deep learning, dropout dan fungsi aktivasi diterapkan untuk meningkatkan kinerja model. …”
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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

“…However, a significant gap exists in comparing the predictive performance of traditional machine learning methods with advanced deep learning models using real-world datasets. This study aims to address this gap by evaluating and comparing the prediction accuracy of machine learning and deep learning techniques using the Monthly Electricity Statistics dataset from the International Energy Agency (IEA). …”
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Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning by Mingen Wang, Panliang Yuan, Pengfei Hu, Zhengrong Yang, Shuai Ke, Longliang Huang, Pai Zhang

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Artificial Intelligence in Robotic Manipulators: Exploring Object Detection and Grasping Innovations by Montassar Aidi Sharif, Hanan Hameed Ismael, Muamar Almani Jasim, Farah Zuhair Jasim

“…The importance of deep learning has heralded transforming changes across different technological domains, not least in the enhancement of robotic arm functionalities of object detection’s and grasping. …”
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BCL6 (B-cell lymphoma 6) expression in adenomyosis, leiomyomas and normal myometrium. by Loreta Canivilo Salas, Bruna Mielczarski, Raquel Camara Rivero, João Sabino Lahogue da Cunha Filho, Ricardo Francalacci Savaris

“…The study highlights the utility of automated immunohistochemistry and deep learning techniques in quantifying protein expression and classifying uterine pathologies. …”
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Vision-Based Pick and Place Control System for Industrial Robots Using an Eye-in-Hand Camera by van-Truong Nguyen, Phu-Tuan Nguyen, Shun-Feng Su, Phan Xuan Tan, Thanh-Lam Bui

“…This system uses deep learning to process camera data to extract object positions for the robot in real-time. …”
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A Generic Approach towards Amharic Sign Language Recognition by Netsanet Yigzaw, Million Meshesha, Chala Diriba

“…The proposed system was created with the help of two key deep learning algorithms: a pretrained deep learning model and a Long Short-Term Memory (LSTM). …”
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