Two-Level Automatic Adaptation of a Distributed User Profile for Personalized News Content Delivery by Maria Papadogiorgaki, Vasileios Papastathis, Evangelia Nidelkou, Simon Waddington, Ben Bratu, Myriam Ribiere, Ioannis Kompatsiaris

“…It involves the use of machine learning algorithms applied to the implicit and explicit user feedback. …”
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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare by Naida Solak, André Ferreira, Gijs Luijten, Behrus Puladi, Victor Alves, Jan Egger

“…This dataset can be utilized for various tasks, such as developing fully automated segmentation algorithms for new, unseen brain tumor cases, particularly through deep learning-based approaches, since ground truth is provided for each sample.…”
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Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods by Ines Viveiros, Helder Silva, Yuri Andrade, Cristiano Pendao

“…In most cases, machine learning outperforms traditional models, which are often observed under controlled, non-real-time conditions, by employing simple algorithms that may have limited success in real-world applications. …”
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Mosaic-Mixed Attention-Based Unexpected Traffic Scene Classification by Sang-Hyun Lee, Soomok Lee, Ilsoo Yun

“…However, current OD algorithms often underperform in complex or unexpected traffic scenarios, such as accidents. …”
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Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method by Sheng-Bo Zhou, Ai-Qin Shen, Geng-Fei Li

“…The results, through the comparison of the traditional threshold algorithms, indicate that three threshold algorithms and five edge detectors fail to meet the demand of segmentation for Computed Tomography concrete images. …”
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Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images by Karen Panetta, Arash Samani, Sos Agaian

“…This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. …”
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Artificial intelligence techniques applications in the wastewater: A comprehensive review by Zakur Yahya, Márquez Fausto, Al-Taie Ali, Alsaidi Saif, Alsadoon Abeer, Mirashrafi Seyed Bagher, Flaih Laith, Zakoor Yousif

“…Also, the review discusses the application of the various (AI) algorithms on the various wastewater treatment plants (WWTPs), predicting (“WWTP”) effluent properties, the wastewater inflows, the anomaly detecting, and the energy optimization. …”
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A New System of Generalized Mixed Quasivariational Inclusions with Relaxed Cocoercive Operators and Applications by Zhongping Wan, Jia-Wei Chen, Hai Sun, Liuyang Yuan

“…From fixed point perspective, we propose some new iterative algorithms for solving the system of generalized mixed quasivariational inclusion problem (SGMQVI). …”
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On Modeling and Constrained Model Predictive Control of Open Irrigation Canals by Lihui Cen, Ziqiang Wu, Xiaofang Chen, Yanggui Zou, Shaohui Zhang

“…The hydraulic software SICC was used to simulate the canal and test the algorithms with application to a real-world irrigation canal of Yehe irrigation area located in Hebei province.…”
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Programming for Stimulation-Induced Transient Nonmotor Psychiatric Symptoms after Bilateral Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease by Xi Wu, Yiqing Qiu, Keith Simfukwe, Jiali Wang, Jianchun Chen, Xiaowu Hu

“…In these patients, the contacts inducing STPS were found and the programming protocol algorithms used. Results. Eleven patients were diagnosed with STPS. …”
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Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification by Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese

“…The scientific research goal of this study was to interpret the fMRI connectivity maps based on machine learning algorithms to predict the patient who will relapse and the one who will not. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…This study introduces a Bayesian methodology that leverages data-cloning algorithms to obtain maximum likelihood estimates for SV and SVM model parameters. …”
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An Improved Sensitivity Method for the Simultaneous Identification of Unknown Parameters and External Loads of Nonlinear Structures by Chongwen Wang, Chengbin Du

“…Because structures may be subject to unknown loads and may simultaneously involve unknown parameters and because simple load identification or parameter identification algorithms cannot be applied under such conditions, it is necessary to seek algorithms that can simultaneously identify unknown parameters and external loads of structures. …”
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Modeling Multicellular Systems Using Subcellular Elements by T. J. Newman

“…We also discuss efficient algorithms for encoding the model, and give an example of a simulation of an epithelial sheet. …”
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Evaluating the Efficiency and Reliability of Fertilizer Subsidy Systems: The Role of Blockchain in Driving Enhancements in Tanzania by O. D. Mbita, M. R. Nicholaus, R. K. Twahir

“…The proposed hybrid architecture integrates well-structured algorithms to improve operational efficiency and ensure a more secure and fair distribution system. …”
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Smart health-care systems for rheumatology by Suneeta Mohanty, Prasant Kumar Pattnaik

“…Wireless sensors, radio-frequency identification technology, Internet of things, and machine learning (ML) algorithms are the underlying technology to implement smart health care. …”
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A Firefly Colony and Its Fuzzy Approach for Server Consolidation and Virtual Machine Placement in Cloud Datacenters by Boominathan Perumal, Aramudhan Murugaiyan

“…Managing these resources to handle large number of virtual machine requests has created the need for heuristic optimization algorithms to provide the optimal placement strategies satisfying the objectives and constraints formulated. …”
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Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey by Pearl Antil, Amita Malik

“…Coverage hole detection schemes have been classified into three categories based on the type of information used by algorithms, computation model, and network dynamics for better understanding. …”
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Interference-Aware Fault-Tolerant Energy Spanner in Wireless Ad Hoc Networks by Dong Wang, Wang-Chen Long, Xiao-Hong Li

“…In this paper, we study the problem of power assignment in order that its induced communication graph meets the following properties: (1) it is an energy- t -spanner which is energy efficient; (2) it is k -fault resistant which can withstand up to k - 1 node failures where k   ⩾  1; (3) the interference is minimal. We propose algorithms to address this problem. Both the theoretic analysis and the simulations in the paper prove that our algorithms can induce a k -fault resistant energy spanner and furthermore the interference is minimized. …”
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Multiplicatively weighted Voronoi-based sensor collaborative redeployment in software-defined wireless sensor networks by Minghua Wang, Ran Ou, Yan Wang

“…Finally, we demonstrate the superiority of the confident information coverage–based multiplicatively weighted Voronoi diagram and the effectiveness and efficiency of our proposed algorithms via a series of experiments.…”
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