OCAFI: observation centric appearance free interpolation technique for multi-object tracking by Shavantrevva Bilakeri, Karunakar A. Kotegar

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Temná strana krále kaktusů: Co MAXQDA neumí a co s tím dělat by Ondřej Hejnal

“…Going in steps, I will demonstrate the phases of data import, categorization of data, autocoding of sentences, word frequencies, selectionofkeywords,dictionary-makingandananalysis of co-occurrences. …”
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A Review of Optical-Based Three-Dimensional Reconstruction and Multi-Source Fusion for Plant Phenotyping by Songhang Li, Zepu Cui, Jiahang Yang, Bin Wang

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On Fusing Wireless Fingerprints with Pedestrian Dead Reckoning to Improve Indoor Localization Accuracy by Gimo C. Fernando, Tinghao Qi, Edmund V. Ndimbo, Assefa Tesfay Abraha, Bang Wang

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diaLogic: A Multi-Modal Framework for Automated Team Behavior Modeling Based on Speech Acquisition by Ryan Duke, Alex Doboli

“…Team behavior is modeled using multi-modal data about cognition, social interactions, and emotions acquired from speech inputs. …”
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PLORC: A Pipelined Lossless Reference-Free Compression Architecture for FASTQ Files by Haori Zheng, Jietao Chen, Feng Yu, Weijie Chen

“…Compression–decompression algorithms for streaming applications offer a promising potential to address these challenges. …”
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An Environment Monitoring and Recording Device for Traction Converter by ZHENG Liangguang, HOU Xiaowei, ZHAO Shuang, ZHOU Feng, HU Chengping

“…Combined with pre-caution warning and data storage functions,the device is constructed based on ARM+DSP dual-core processing architecture. …”
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PV Polaris – Automated PV System Orientation Prediction by Ernst Wittmann, Claudia Buerhop-Lutz, Savannah Bennett, Vincent Christlein, Jens Hauch, Christoph J. Brabec, Ian Marius Peters

“…In terms of accuracy, PV Polaris outperforms other methods such as measurements with a tilt compensated compass or predictions from satellite images. Applicable at module, string and inverter levels, the algorithm only requires power monitoring data as well as an approximate coordinate as input. …”
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GA-SVM method for single-phase grounding fault line selection in distribution network based on feature fusion by ZHANG Xiaopeng, BAI Jie, SUN Naijun, LI Jie, ZHENG Shuai, WAN Qingzhu

“…The results show that the proposed algorithm can realize fault line selection through small sample datawith high accuracy and strong applicability.…”
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Safer interaction with IVAs: The impact of privacy literacy training on competent use of intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Astrid Carolus, Andreas Hotho, Carolin Wienrich

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Transformer-Based Deep Learning for Mesoscale Eddy Detection in Sea Surface Temperature Maps by Chen Ji, Wenyang Xu, Xiangtian Zheng, Yasmeen Ahmed, Saad Ahmed Jamal, Fakhar Imam, Mohammed Saleh Ali Muthanna, Maha Ibrahim, Sajid Ullah, Dmitry E. Kucher

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Fast generation of high-dimensional spatial extremes by Hans Van de Vyver

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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

“…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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An Enhanced Model Free Adaptive Control Approach for Functional Electrical Stimulation Assisted Knee Joint Regulation and Control by T Alif, Shubhendu Bhasin, Kanwaljeet Garg, Deepak Joshi

“…The model free adaptive control with a data-driven approach is provided with recursive feasibility, compliance with input constraints, and exponential stability. …”
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Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process by Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, Seungjae Lee, Hogyeong Kang, Eunju Park, Im Doo Jung, Namhun Kim

“…The proposed methodology implements multimodal data fusion, combining reproduced grayscale images of deposition strategy with numerical process variables, including process parameters, geometrical features, and printing process status. …”
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Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models by Luis H. T. Bandoria, Walquiria N. Silva, Madson C. De Almeida

“…These findings highlight the critical role of normalization in developing effective synthetic data generation pipelines for power system applications.…”
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Profiling chronic migraine patients according to clinical characteristics: a cluster analysis approach by Masahito Katsuki, Masahito Katsuki, Masahito Katsuki, Masahito Katsuki, Yasuhiko Matsumori, Shin Kawamura, Kenta Kashiwagi, Akihito Koh, Tetsuya Goto, Kazuma Kaneko, Kazuma Kaneko, Naomichi Wada, Naomichi Wada, Fuminori Yamagishi

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Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm by Kaiqiao Tian, Meiqi Song, Ka C. Cheok, Micho Radovnikovich, Kazuyuki Kobayashi, Changqing Cai

“…This method provides a practical solution for maintaining reliable sensor fusion in autonomous driving applications subject to long-term calibration drift.…”
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Multi-Information-Assisted Bistatic Active Sonar Target Tracking for Autonomous Underwater Vehicles in Shallow Water by Zhanpeng Bao, Yonglin Zhang, Yupeng Tai, Jun Wang, Haibin Wang, Chao Li, Chenghao Hu, Peng Zhang

“…By utilizing this amplitude information, the algorithm proposed in this paper demonstrates a 23.95% performance improvement over the traditional probabilistic data association algorithm. The proposed algorithm provides AUVs with enhanced tracking autonomy, significantly advancing their capability in ocean engineering applications.…”
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Ensuring Energy Efficiency of Air Quality Monitoring Systems Based on Internet of Things Technology by Krzysztof Przystupa, Nataliya Bernatska, Elvira Dzhumelia, Tomasz Drzymała, Orest Kochan

“…A comprehensive analysis of sensor types, data transmission protocols, and system architectures was conducted, focusing on their energy consumption. …”
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