Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…We hypothesize that this better conspicuity leads to high-quality annotation (HAQ), enhancing deep learning (DL) algorithm detection of BMs on MPRAGE images. …”
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Quadratic interpolation optimization-based 2DoF-PID controller design for highly nonlinear continuous stirred-tank heater process by Serdar Ekinci, Davut Izci, Veysel Gider, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…This work introduces a pioneering application of the QIO algorithm in industrial temperature control, offering a scalable and cost-efficient solution for complex nonlinear systems.…”
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Illumination-adaptative granularity progressive multimodal image fusion method by Chuanyun WANG, Dongdong SUN, Mingqi ZHOU, Tian WANG, Qian GAO, Zhaokui LI

“…Extensive experiments across several benchmark datasets—including MSRS and LLVIP for dark-light scenarios, TNO for mixed lighting conditions, RoadScene for continuous scenes, and M3FD for hazy conditions—show that the proposed method outperforms 11 state-of-the-art algorithms in qualitative and quantitative evaluations. …”
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ON ESTIMATED ACCURACY OF PART CUTTING UNDER MACHINE INTELLIGENT CONTROL by Alexey Fedorovich Lysenko, Andrey Igorevich Izyumov, Oleg Valentinovich Goncharov

“…The novelty of the approach is in analyzing the effect of the combined characteristics that is more informative versus the effect estimate of each of them. An algorithm for the function calculation program of distributing the cutterpath coordinates used to evaluate entering the acceptable range is presented. …”
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Neuropathic pain: proposal of a mechanism-based treatment by Laura Demartini, Cesare Bonezzi

“…Some authors have suggested that the poor results in the treatment of neuropathic pain may be related to the different mechanisms present in each patient and have tried to correlate them with clinical characteristics in order to evaluate possible targeted treatments. This approach has been used in some studies evaluating the response to specific pharmacotherapies in clusters of patients, with encouraging results but still limited applicability to clinical practice. …”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. …”
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Diagnostic accuracy of artificial intelligence for the screening of prostate cancer in biparametric magnetic resonance imaging: a systematic review by Oksana V. Kryuchkova, Elena V. Schepkina, Natalia A. Rubtsova, Boris Y. Alekseev, Anton I. Kuznetsov, Svetlana V. Epifanova, Elena V. Zarya, Ali E. Talyshinskii

“…However, the clinical applicability may require more intensive expert inspection in healthcare institutions and evaluation of efficacy in prospective studies.…”
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Development of wireless electronic nose and using of remote monitoring by HU Ying, WANG Jun

“…The software introduces the structure of Z-Stack plate on the transplant, CC2530 data acquisition, AD (Analog to digital) conversion process and the development of the applications for the eight channel data acquisition and transmission, to ensure the accuracy of data transmission.Secondly, the communication quality of the system was evaluated and applied to detect the plum fruits. …”
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Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance by Johannes C. Ayena, Johannes C. Ayena, Amina Bouayed, Amina Bouayed, Myriam Ben Arous, Myriam Ben Arous, Youssef Ouakrim, Youssef Ouakrim, Karim Loulou, Karim Loulou, Darine Ameyed, Isabelle Savard, Leila El Kamel, Neila Mezghani, Neila Mezghani

“…Data extraction focused on device types, sensor quality, compliance with health standards, and the predictive algorithms employed.ResultsWearable devices show promise in correlating physiological markers with CP, but few studies integrate predictive models. …”
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Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

“…Metaheuristics are powerful optimization techniques that are well-suited for addressing complex combinatorial problems across diverse scientific and industrial domains. However, their application to computationally expensive problems remains challenging due to the high cost and significant number of fitness evaluations required during the search process. …”
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Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape by Cafer Budak, Özge Üstüner

“…Using a linear regression algorithm, SpO2 values from different bands were classified for quality. …”
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A Decentralized Multi-Venue Real-Time Video Broadcasting System Integrating Chain Topology and Intelligent Self-Healing Mechanisms by Tianpei Guo, Ziwen Song, Haotian Xin, Guoyang Liu

“…Specifically, our approach achieves substantial improvements in latency, video quality stability, and fault tolerance over existing P2P methods, along with over tenfold enhancements in frame rates compared with conventional RTMP-based solutions, thereby demonstrating its efficacy, scalability, and cost-effectiveness for real-time video streaming applications.…”
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Hinge-FM2I: an approach using image inpainting for interpolating missing data in univariate time series by Saad Noufel, Nadir Maaroufi, Mehdi Najib, Mohamed Bakhouya

“…Abstract Accurate time series forecasts are crucial for various applications, such as traffic management, electricity consumption, and healthcare. …”
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A Method to Assess Localized Impact of Better Floodplain Topography on Flood Risk Prediction by Guy J.-P. Schumann, Konstantinos M. Andreadis

“…We propose an analysis based on a targeted observation algorithm to evaluate potential data acquisition subregions in terms of their impact on the prediction of flood risk over the entire study area. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…This composite reward function not only reflects the quality of current state‒action pairs but also incorporates predictions and evaluations of future states. …”
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Computational approaches for structural analysis of wood specimens by Chakkour Tarik

“…Usually, its purpose is to evaluate orientation and to conduct local structural analysis. …”
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Diagnostic framework to validate clinical machine learning models locally on temporally stamped data by Maximilian Schuessler, Scott Fleming, Shannon Meyer, Tina Seto, Tina Hernandez-Boussard

“…Finally, feature importance and data valuation algorithms are applied for feature reduction and data quality assessment. …”
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Development and validation of a risk prediction model for depression in patients with chronic obstructive pulmonary disease by Tong Feng, PeiPei Li, Ran Duan, Zhi Jin

“…The Support Vector Machine (SVM) model achieved the highest performance, with an AUC of 0.890 in the validation set and 0.887 in the test set, demonstrating robust discriminative ability and clinical applicability. SHapley Additive exPlanations (SHAP) analysis enhanced model interpretability. …”
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Use of machine learning to predict creativity among nurses: a multidisciplinary approach by Rola H. Mudallal, Majd T. Mrayyan, Mohammad Kharabsheh

“…Clinical trial number Not applicable.…”
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Gas adsorption meets geometric deep learning: points, set and match by Antonios P. Sarikas, Konstantinos Gkagkas, George E. Froudakis

“…These are typically built in a descriptor-based manner, meaning that the structure must be first coarse-grained into a 1D fingerprint before it is fed to the ML algorithm. As such, the latter can not fully exploit the 3D structural information, potentially resulting in a model of lower quality. …”
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