Breast cancer risk assessment tool: Observations from an Indian cohort by Somesh Chandra, Shantanu Chandra, Veer Kanani

“…A risk assessment tool helps to evaluate an individual’s risk at a particular point in time. …”
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Prototype of the Near-Infrared Spectroscopy Expert System for Particleboard Identification by Anna Sandak, Jakub Sandak, Dominika Janiszewska, Salim Hiziroglu, Marta Petrillo, Paolo Grossi

“…The overall goal of this work was to develop a prototype expert system assisting quality control and traceability of particleboard panels on the production floor. Four different types of particleboards manufactured at the laboratory scale and in industrial plants were evaluated. …”
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A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation by Kaihua Yao, Xinyu Yan, Xiling Mao, Mengwei Li, Xiao Li, Ziyu Lian, Yuxiang Han

“…In this work, we propose a combined Improved Dung Beetle Optimization (IDBO) and Extreme Learning Machine (ELM) framework for SOC estimation and evaluate the efficiency of the BMS. The novelty of the model stems from the application of the IDBO algorithm, which incorporating Circle chaotic mapping, the Golden sine strategy, and the Levy flight strategy, for hyper-parameter optimization. …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…For regression and classification, deep neural network (DNN) from deep learning algorithms and support vector machine (SVM), decision trees (DTs), k-nearest neighbor (KNN), random forest (RF), logistic regression (LR), and extreme gradient boosting (XGBoost) algorithms from machine learning algorithms were used. …”
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Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

“…Additionally, the BIRCH algorithm was evaluated in combination with dimensionality reduction methods, such as Principal Component Analysis (PCA) and Autoencoders, to enhance clustering performance. …”
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Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy by Guanmeng Gao, Zihan Wei, Fei Pei, Yajie Du, Beiying Liu

“…All stained slides were scanned for analysis by the Faster-R-CNN with ResNet 50 or VGG16, then the model performance was evaluated. Furthermore, the real-time microscopic field, smartphone and AI algorithm were connected through 5G networks and the AI results were sent back to the smartphone for confirmation by the pathologists. …”
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A Stabilized Incompressible SPH Method by Relaxing the Density Invariance Condition by Mitsuteru Asai, Abdelraheem M. Aly, Yoshimi Sonoda, Yuzuru Sakai

“…In the ISPH, pressure is evaluated by solving pressure Poisson equation using a semi-implicit algorithm based on the projection method. …”
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Ranking nodes in bipartite systems with a non-linear iterative map by Andrea Mazzolini, Michele Caselle, Matteo Osella

“…This paper introduces a method based on a non-linear iterative map to evaluate node relevance in bipartite networks. By tuning a single parameter γ, the method captures different concepts of node importance, including established measures like degree centrality, eigenvector centrality and the fitness-complexity ranking. …”
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Blending physical and artificial intelligence models to improve satellite-derived bathymetry mapping by Daniel García-Díaz, Sandra Paola Viaña-Borja, Mar Roca, Gabriel Navarro, Isabel Caballero

“…Satellite-Derived Bathymetry (SDB) offers a promising alternative to address the lack of current bathymetric data in shallow areas, particularly when utilizing data from satellite platforms such as Sentinel-2, along with advanced Machine Learning and Deep Learning techniques capable of enhancing bathymetric estimation compared to conventional methods. In this study, we evaluated the performance of two different algorithms for estimating SDB in two areas of the Western Mediterranean: a physics-driven model and an Artificial Neural Network (ANN). …”
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Advances in Data Pre-Processing Methods for Distributed Fiber Optic Strain Sensing by Bertram Richter, Lisa Ulbrich, Max Herbers, Steffen Marx

“…An artificial but realistic benchmark data set simulating different measurement scenarios is used to discuss the features of these algorithms. …”
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Flow cytometry for screening and prioritisation of urine samples: a retrospective comparison with culture by Vicky Sender, John Kerr White, Ludvig Bolinder, Karin Amilon, Mirja Hägg, Karin Haij Bhattarai, Niklas K. Björkström, Baharak Saeedi

“…Receiver operating characteristic (ROC) curve analyses assessed method agreement across different patient subpopulations. Predictive values were calculated for the total population and the ten different subpopulations at different cut-offs. …”
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Preliminary exploratory study on differential diagnosis between benign and malignant peripheral lung tumors: based on deep learning networks by Yuan Wang, Yuan Wang, Yutong Zhang, Yongxin Li, Tianyu She, Meiqing He, Hailing He, Dong Zhang, Dong Zhang, Jue Jiang

“…DeLong’s test was employed to compare the differences between the groups.ResultsAmong the five models, the one based on the ResNet18 algorithm demonstrated the highest performance. …”
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A Data-Driven Signal Subspace Approach for Indoor Bluetooth Ranging by Zaid Bin Tariq, Jayson P. Van Marter, Anand G. Dabak, Naofal Al-Dhahir, Murat Torlak

“…Bluetooth ranging relies on two-way multicarrier phase difference (MCPD) channel frequency response measurements to mitigate time and phase offsets. …”
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StegGPT: A Novel Foundation-Model-Based Character-Level Linguistic Steganography Method Utilizing Large Language Models by Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian

“…A comparative analysis pits the newly minted algorithm against contemporaneous approaches, notably cutting-edge neural linguistic steganography (NLS), evaluating their algorithmic capacities in terms of Bits per Word (BpW) and Bits per Character (BpC), along with gauging their security and imperceptibility through metrics like Area Under the Curve (AUC), Equal Error Rate (EER) and Difference of Mean Perplexity (<inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula> MP). …”
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Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…The validation algorithm used in this work was the hold-out algorithm (80–20). …”
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Examination the effects of Stefan blowing on chemical reactive flow of hybrid nanofluid over an infinite disk with Cattaneo-Christove heat flux model by Munawar Abbas, Nargis Khan, M. S. Hashmi, Shahram Rezapour, Mustafa Inc

“…The (RKF-45th) algorithm is employed to numerically solve this issue. …”
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Multiple Description Coding Using Data Hiding and Regions of Interest for Broadcasting Applications by M. Verza, N. Conci, G. Boato, F. G. B. De Natale

“…To demonstrate its effectiveness, the algorithm has been implemented in two different scenarios, using the reference H.264/AVC codec and an MJPEG framework to evaluate the performance in absence of motion-compensated frames on 720p video sequences.…”
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Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle by Maarten Perneel, Ines Adriaens, Jan Verwaeren, Ben Aernouts

“…After all, the orientation and behaviour of an animal determine which body parts of an animal are visible from the camera’s perspective. We evaluated our approach using a dataset with more than 11,000 instance segments of Holstein-Friesian cattle, but our methodology is readily generalisable to different animal species. …”
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Empc-based V2G scheduling strategy for multi-attribute EVs aggregator by Haoyang Tang, Zhilu Liu, Lin Zheng, Jianfeng Zheng, Hao Hu, Jinpei Lu, Zhijian Hu

“…The optimization effect under different levels of user participation is also evaluated. …”
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Instances for the problem of pre-positioning emergency supplies by Renata Turkeš, Kenneth Sörensen

“…In addition, the authors developed a tool to algorithmically generate arbitrarily many diverse random instances of any size. …”
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