SmartData: Toward the Data-Driven Design of Critical Systems by Jose L. Conradi Hoffmann, Antonio A. Frohlich

“…Machine Learning algorithms and safety models are enabling higher levels of autonomy in modern Cyber-Physical Systems (CPS). …”
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TIBW: Task-Independent Backdoor Watermarking with Fine-Tuning Resilience for Pre-Trained Language Models by Weichuan Mo, Kongyang Chen, Yatie Xiao

“…By implementing a Trigger–Target Word Pair Search Algorithm that selects trigger–target word pairs with maximal semantic dissimilarity, our approach ensures that the watermark remains effective even after extensive fine-tuning. …”
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Measurement of snowpack density, grain size, and black carbon concentration using time-domain diffuse optics by Connor Andrew Henley, Colin Richard Meyer, Jacob Ian Chalif, Joseph Lee Hollmann, Ramesh Raskar

“…We introduce a model that predicts the time-dependent reflectance of a dry snowpack as a function of its density, grain size, and black carbon content. We develop an algorithm that retrieves these properties from measurements at two wavelengths. …”
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Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors by Qian Xie, Ning Jin, Shanshan Lu

“…To evaluate the performance of the designed football motion recognition algorithm, this paper proposes a data extraction experimental scheme to complete the data collection of different motions. …”
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Hybrid Naïve Bayes Models for Scam Detection: Comparative Insights From Email and Financial Fraud by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

“…This study revisits the Naïve Bayes algorithm—often underestimated in modern cybersecurity—as a core building block for effective scam detection. …”
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Two‐stage stochastic energy and reserve market clearing model considering real‐time offering strategy of renewable energy by Zhengting Jiang, Yunpeng Xiao, Taishan Xu, Qi Liu, Jianxue Wang

“…The two‐stage stochastic market clearing model is formulated as a mixed‐integer non‐linear programming problem, and an iterative algorithm is devised to obtain market clearing results after proper linearizations. …”
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AI and Eye Tracking Reveal Design Elements’ Impact on E-Magazine Reader Engagement by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

“…A cohort of 144 participants from Oxford Business College underwent emotional impact testing, while an AI eye-tracking algorithm analysed attention patterns across 180,000 eye-tracking recordings. …”
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Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges by Alem Febri Sonni, Hasdiyanto Hafied, Irwanto Irwanto, Rido Latuheru

“…The most prominent ethical challenges include algorithm transparency (82% of studies), data privacy (76%), and accountability relative to AI content (71%). …”
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Design and Implementation of Distributed Real-time Security System via Mobile Technology by Dhuha Abdullah, Wael Mahmood

“…The program in the computer receives signals from the three ports and uses a fixed real time algorithm for scheduling signals and gives them priorities according to the importance of ports, then sends signals to the second part of the system. …”
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Population FBA predicts metabolic phenotypes in yeast. by Piyush Labhsetwar, Marcelo C R Melo, John A Cole, Zaida Luthey-Schulten

“…Fast growing yeast cells are predicted to perform significant amount of respiration, use serine-glycine cycle and produce ethanol in mitochondria as opposed to slow growing cells. We use a genetic algorithm to determine the proteomics constraints necessary to reproduce the growth rate distributions seen experimentally. …”
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FedeAMR-CFF: A Federated Automatic Modulation Recognition Method Based on Characteristic Feature Fine-Tuning by Meng Zhang, Jiankun Ma, Zhenxi Zhang, Feng Zhou

“…Specifically, the clients extract representative features through distance-based metric screening, and the server aggregates model parameters via the FedAvg algorithm and fine-tunes the model using the collected features. …”
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Influence of ceiling fan induced mass flow rate to create uniform temperature distribution in a closed room: A CFD investigation by Sushant, Ashok Kumar Yadav, Ashish Dewangan, Osama Khan, Pankaj Kumar Sharma, Niraj Kumar

“…The analysis for pressure-velocity coupling is done by SIMPLE algorithm. The k- ε equations which are used for spatial discretization of the momentum are second-order upwind, while first-order upwind are selected for the equation of energy and passive scalar. …”
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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

“…In terms of model performance, CNN achieved an R² of 0.88 for PM10 and 0.93 for SO2, while LSTM demonstrated an R² of 0.94 for PM10 and 0.95 for SO2. …”
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EMS-SLAM: Dynamic RGB-D SLAM with Semantic-Geometric Constraints for GNSS-Denied Environments by Jinlong Fan, Yipeng Ning, Jian Wang, Xiang Jia, Dashuai Chai, Xiqi Wang, Ying Xu

“…The results demonstrate that our method outperformed the current algorithms of SLAM in highly dynamic environments.…”
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Absolute direction in organelle movement by Solveig Plomer, Annika Meyer, Philipp Gebhardt, Theresa Ernst, Enrico Schleiff, Gaby Schneider

“…A preprocessing algorithm is provided that enables the analysis of absolute angles in the existing R package moveHMM. …”
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Data augmented offline deep reinforcement learning for stochastic dynamic power dispatch by Wencong Xiao, Tao Yu, Zhiwei Chen, Zhenning Pan, Yufeng Wu, Qianjin Liu

“…Operating a power system under uncertainty while ensuring both economic efficiency and system security can be formulated as a stochastic dynamic economic dispatch (DED) problem. …”
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Optimizing Power System Performance: The Significance of Placement and Sizing of Battery Energy Storage Systems by Harith B. Hussien, Ahmed J. Abid, Naseer M. Yasin, Ameer L. Saleh, Hayder Jasim Habil

“…To do this, two meta-heuristic optimization algorithms are suggested in this paper, Particle Swarm Optimization (PSO) and Dragonfly Algorithm (DA). …”
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Improvement of Network Traffic Prediction in Beyond 5G Network using Sparse Decomposition and BiLSTM Neural Network by Rihab Abdullah Jaber Al Hamadani, Mahdi Mosleh, Ali Hashim Abbas Al-Sallami, Rasool Sadeghi

“…Next, sparse feature extraction is performed using Discrete Wavelet Transform (DWT), and a sparse matrix is constructed. A Genetic Algorithm (GA) is used to optimize the sparse matrix, which effectively selects the most significant features for prediction. …”
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Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique by Zhaoxin Jiang, Hongyan Xu, Hui Chen, Bei Gao, Shijie Jia, Zhi Yu, Jian Zhou

“…In this regard, 88 datasets with 9 variables including the ratio of bench height to burden (H/B) and the ratio of spacing to burden (S/B) were selected as the input variables, while peak particle velocity (PPV) was measured. …”
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Physical Parameters of 12,201 ASAS-SN Contact Binaries Determined by a Neural Network by Kai Li, Li-Heng Wang

“…Among these binaries, 4332 are A-subtype systems, while 7869 are W-type systems, and 1594 systems have mass ratios larger than 0.72 (H-subtype systems). …”
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