Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…Machine learning algorithms were utilized combined with different audio feature sets to analyze these recordings in conjunction with PHQ-4 questionnaire scores. …”
Get full text

Methionine synthase reductase A66G polymorphism and ischemic stroke in younger patients by O. V. Tsyganenko, L. I. Volkova, A. M. Alasheev

“…Therefore, the inclusion of MTRR A66G polymorphism screening in the diagnostic algorithm of stroke in young adults seems necessary.…”
Get full text

Linear Decision Fusion under the Control of Constrained PSO for WSNs by Sisi Jiang, Zhiwen Zhao, Sheng Mou, Zushun Wu, Yi Luo

“…A major application of a distributed WSN (wireless sensor network) is to monitor a specific area for detecting some events such as disasters and enemies. …”
Get full text

Extracting Realistic Pedestrian, Cycling, and Driving Street Networks from OpenStreetMap by J. P. Duque, M. A. Brovelli

“…Particular attention is paid to pedestrian networks, addressing the inconsistency where separately mapped sidewalks are not explicitly specified in their corresponding driving streets. An algorithm was designed to detect these cases based on the geometry of the street segments. …”
Get full text

Cooperative Identification of Prolonged Motor Movement From EEG for BCI Without Feedback by Alicia Falcon-Caro, Joao Filipe Ferreira, Saeid Sanei

“…In such a formulation, orthogonal Bessel functions are utilized to represent different gestures and used as the target for the adaptation algorithm. This method aims at detecting and evaluating the prolonged motor movements as well as identifying highly complex sub-gestures. …”
Get full text

Nonlinearity modeling for online estimation of industrial cooling fan speed subject to model uncertainties and state-dependent measurement noise by Peng Chao-Chung, Tsai Min-Che, Chen Tsai-Ying

“…Accurate fan speed estimation can be used not only to detect fan abnormalities but also for speed control-related applications. …”
Get full text

Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“…The researchers implemented a method to classify stroke with the Support Vector Machine (SVM) algorithm. The SVM is a learning method used in medical diagnosis for classification, the researchers processed data sets using the Orange tool. …”
Get full text

Applying interpretable machine learning to assess intraspecific trait divergence under landscape‐scale population differentiation by Sambadi Majumder, Chase M. Mason

“…Methods Recursive feature elimination was applied to functional trait data from the HeliantHOME database, followed by the application of the Boruta algorithm to detect the traits that are most predictive of ecoregion. …”
Get full text

Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…Based on those, an on-line soft sensor model of hot metal[Si] with the optimal parameters was obtained by using the multi-objective genetic algorithm (NSGA-Ⅱ) with the non-dominated sort and elitist strategy. …”
Get full text

Kinect-Based Sliding Mode Control for Lynxmotion Robotic Arm by Ismail Ben Abdallah, Yassine Bouteraa, Chokri Rekik

“…Therefore, the Kinect sensor is integrated into our control system to detect the different user joints coordinates. The Lynxmotion dynamic has been implemented in a real-time sliding mode control algorithm. …”
Get full text

Objective Identification of Tropical Cyclone Systems With Potential for Storm Surge Impact in the Western North Pacific by Xiaoqi Zhang, Gregor C. Leckebusch, Kelvin S. Ng

“…The M&S‐WiTRACK is formed by a cyclone tracker (M&S) identifying tropical cyclone trajectories based on mean sea level pressure, with a wind‐based storm impact identification algorithm (WiTRACK) determining potential storm surge impact areas using 10‐m wind speed. …”
Get full text

Electrohydraulic Servo Shaker Control Based on the Single Layer Flexible Structure Load by Tao Wang, Jinchun Song

“…In order to achieve the goal of improving the waveform accuracy of shaking tables, it is necessary to combine the corresponding control algorithm strategy. Hence, in compliance with the working principles and functions of shaking table systems, the reasons for the coupling between flexible structure loads and shaking tables are carefully analyzed in this paper. …”
Get full text

Automated pavement marking integrity assessment using a UAV platform – a test case of public parking by Payam Rahnamayiezekavat, Di Wang, Jian Chai, Sungkon Moon, Maria Rashidi, Xiangyu Wang

“…Given intensity differences between pixels of paintings and asphalt backgrounds, the pixels belonging to painting regions are classified using the K-mean clustering algorithm. After detecting all parking lines from images, the Otsu method was employed to determine the threshold of 0.9 as the quantitative indicator of painting quality. …”
Get full text

Lithium-ion battery state of health estimation using intelligent methods by Hemavathi S

“…In electric vehicle applications, detecting Li-ion battery degradation is essential to ensure safety and reliability. …”
Get full text

Updating the criteria for assessing the state of the railway track according to the data of track measuring equipment by B. N. Zenzinov, Y. S. Romen, M. V. Krivolapov

“…The authors used computer simulations to determine the dynamic indicators of cars in accordance with the algorithm of the deterministic method for calculating the movement of cars along the railway track.Results. …”
Get full text

Factors Identification and Prediction for Mind Wandering Driving Using Machine Learning by Ciyun Lin, Hongli Zhang, Bowen Gong, Dayong Wu

“…Mind wandering (MW) is a fatal cause affecting driving safety and is hard to be detected and prevented due to its uncertain and complex occurrence mechanism. …”
Get full text

Predictive Archaeological Risk Assessment at Reservoirs with Multitemporal LiDAR and Machine Learning (XGBoost): The Case of Valdecañas Reservoir (Spain) by Enrique Cerrillo-Cuenca, Primitiva Bueno-Ramírez

“…This study assesses the potential of using multitemporal LiDAR data and Machine Learning (ML)—specifically the XGBoost algorithm—to predict erosional and sedimentary processes affecting archaeological sites in the Valdecañas Reservoir (Spain). …”
Get full text

Evaluating Sparse Inertial Measurement Unit Configurations for Inferring Treadmill Running Motion by Mackenzie N. Pitts, Megan R. Ebers, Cristine E. Agresta, Katherine M. Steele

“…All ankle acceleration inferences from these models remained below the minimal detectable change threshold of 12.0 m/s². …”
Get full text

Machine Learning Classification of 3D Intracellular Trafficking Using Custom and Imaris-Derived Motion Features by Oleg Kovtun

“…<b>Background:</b> Detecting intracellular diffusion dynamics with high spatiotemporal resolution is critical for understanding the complex molecular mechanisms that govern viral infection, drug delivery, and sustained receptor signaling within cellular compartments. …”
Get full text

Issues occult hepatitis B virus infection by I. A. Morozov, L. Yu. Ilchenko, N. I. Gromova, I. G. Fyedorov, I. V. Gordeychuk, A. K. Knyazhentseva, E. V. Zverkova, M. I. Mikhaylov

“…Molecular biologic enzymelinked immunoassay (ELISA), polymerase chain reaction (PCR) and morphological (immunohistochemistry, electron microscopy) methods were utilized for diagnostics.Results. Novel two-stage algorithm of diagnostics of CHB occult form was developed. …”
Get full text