Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline by Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo, Patricia Caratozzolo

“…A custom pipeline was used for PDF text extraction, tokenization, and lemmatization to standardize the data. The models were trained and evaluated using over 1,700 annotated documents, with the training process optimized for both entity recognition and relationship prediction accuracy.ResultsThe NER and RE models demonstrated promising performance. …”
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Enhancing Skin Disease Diagnosis Through Fine-Tune Convolutional Neural Network: A Comparative Study with Multi-class Approach by Najnin Akter Ringky, Abu Kowshir Bitto, Khalid Been Md. Badruzzaman Biplob, Md. Fazla Elahe, Musabbir Hasan Sammak, Tapushe Rabaya Toma

“…It was found that fine-tune Xception performed exceptionally well, with an accuracy rate of 99.14%. It was closely followed by DenseNet201 and InceptionV3, each with different processing speeds, 98.74% and 98.46%, respectively. …”
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Enhancing Skin Disease Diagnosis Through Fine-Tune Convolutional Neural Network: A Comparative Study with Multi-class Approach by Najnin Akter Ringky, Abu Kowshir Bitto, Khalid Been Md. Badruzzaman Biplob, Md. Fazla Elahe, Musabbir Hasan Sammak, Tapushe Rabaya Toma

“…It was found that fine-tune Xception performed exceptionally well, with an accuracy rate of 99.14%. It was closely followed by DenseNet201 and InceptionV3, each with different processing speeds, 98.74% and 98.46%, respectively. …”
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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

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Privacy protection of sexually transmitted infections information from Chinese electronic medical records by Mengchun Gong, Yue Yu, Zihao Ouyang, Wenzhao Shi, Chao Liu, Qilin Wang, Jiale Nan, Endi Cai, Fen Ding, Sheng Nie

“…The research was conducted at a national healthcare data center, where a committee of experts designed rule-based protocols utilizing natural language processing techniques to extract STI information. …”
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Anomaly Detection in Elderly Health Monitoring via IoT for Timely Interventions by Cosmina-Mihaela Rosca, Adrian Stancu

“…The collected data for average heart rate (AR), minimum (mR), maximum (MR), number of steps (S), deep sleep time (DST), and superficial sleep time (SST) is processed in real-time through a health anomaly detection algorithm (HADA), based on the dimensionality reduction method using PCA. …”
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Multi-Dimensional Fuzzy Clustering-Based Trajectory Initialization Algorithm for Infrared Weak Target Trajectories in Robust Clutter Environments by Ziqian Yang, Hongbin Nie, Yiran Li, Chunjiang Bian

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Comparative assessment of the state of digitalisation in higher education institutions by N. I. Aksenova, O. V. Usacheva, M. K. Chernyakov

“…The main research methods involved morphological analysis, index, and matrix and score-rating methods. On the basis of the morphological matrix, the rating of a higher education institution was formed as an integral assessment, taking into account the weight values of its spheres. …”
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Human Genes Encoding Transcription Factors and Chromatin-Modifying Proteins Have Low Levels of Promoter Polymorphism: A Study of 1000 Genomes Project Data by Elena V. Ignatieva, Victor G. Levitsky, Nikolay A. Kolchanov

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Out-of-hospital cardiac arrest: assessing the problem status and identifying priority areas for improving the care provision. Data from the 2020-2022 Crimean registry by A. A. Birkun, L. P. Frolova, G. N. Buglak

“…An analysis of the data from the "Crimean registry of cases of OHCA and cardiopulmonary resuscitation" was performed. …”
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GPS Phase Integer Ambiguity Resolution Based on Eliminating Coordinate Parameters and Ant Colony Algorithm by Ning Liu, Shuangcheng Zhang, Xiaoli Wu, Yu Shen

“…When solving the float solution of ambiguity based on the double-difference model epoch by epoch, the common method for resolving the integer ambiguity needs to solve the coordinate parameter information, due to the influence of limited GNSS phase data observations. This type of method will lead to an increase in the ill-posedness of the double-difference solution equation, so that the fixed success rate of the integer ambiguity is not high. …”
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UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment by Xavier Fernando, Abhishek Gupta

“…Since vehicles’ sensors generate immense amount of data, the latency in processing these applications also increases, particularly when the data are not independently identically distributed (non-i.i.d.). …”
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Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availabilityZenod... by Bernd J. Berauer, Suraj Chaudhary, Lorenz Kottmann, Andreas H. Schweiger

“…We provide photosynthetic raw data as well as processed (merged) and derived (extracted ACi fit) data. …”
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Application of the RUSLE model to estimate water erosion in the southwestern basins of Akre Mountain by Hozan Sadiq Mawlood, Hikmat Abdulazez Hamad Al-Hussainy

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Using Compact 1H NMR, NIR, and Raman Spectroscopy Combined with Multivariate Data Analysis to Monitor a Biocatalyzed Reaction in a Microreaction System by Robin Legner, Alexander Wirtz, Martin Jaeger

“…The data obtained were interpreted in terms of a first-order kinetic model, and corresponding reaction rate constants were extracted. …”
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Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective by Elham Tabrizi, Mohadeseh Farzammehr

“…Key socioeconomic factors influencing divorce cases, such as unemployment rate and urbanization rate, are identified. The findings provide actionable insights for policymakers to develop data-driven strategies for social policy and resource allocation.…”
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High capacity reversible hiding in encrypted domain based on cipher-feedback secret sharing by Minqing ZHANG, Chao JIANG, Fuqiang DI, Zongbao JIANG, Xiong ZHANG

“…To improve the security, robustness and embedding rate of reversible hiding in encrypted domain in the distributed environment, a multiple embedding algorithm based on cipher-feedback secret sharing was proposed.Firstly, the additional data were embedded into the polynomial coefficients redundancy generated in the process of secret image sharing.Secondly, the extra secrets were embedded by using the additive homomorphism of secret sharing.Experimental results demonstrate that a better security and robustness has been obtained by improving the diffusion characteristic of secret sharing using the feedback mechanism.In the (3,4) and (3,5) threshold, the embedding rates can reach 6.00 bit per pixel and 4.80 bit per pixel respectively.The proposed algorithm can not only maintain the strong security and separability, but also obtain a better embedding capacity.Meanwhile, the embedding rate of the scheme is not affected by the carrier image and is only related to the selection of algorithm parameters.…”
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Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning by Yulong Ji, Kunjin Zou, Bin Zou

“…These approaches do not consider the integration of both processes or tailor the neural network and learning rate schedules to the specific task. …”
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Tribological performance of graphene oxide reinforced PEEK nanocomposites with machine learning approach by Yagnik Patel, Unnati Joshi, Prince Jain, Anand Joshi, Sanketsinh Thakor, Swapnil Parikh

“…Polymer specimens were produced by incorporating varying concentrations of graphene oxide (GO) (1, 3, and 5 wt percent) into the PEEK matrix using the Sol-Gel process. Wear rate and friction coefficient of the polymer Nano composite (PEEK-GO) were evaluated using a pin-on-disk machine at room temperature under different loads (20, 30, and 60) and track diameters (60, 90, and 100). …”
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Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data by Shuo Wang, Xin Zheng, Yang Du, Guoqiang Zhang, Qianxue Wang, Daxiao Han, Jili Zhang

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