Assessment of Occupational Risk in the Case of the Ultrasonic Noise Exposure by Dariusz PLEBAN, Bożena SMAGOWSKA, Jan RADOSZ

“…According to this method, the scope of the measurements includes the determination of the equivalent sound pressure levels in the 1/3 octave bands with the centre frequencies from 10 kHz to 40 kHz. …”
Get full text

Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…Objective To assess whether the performance of classifiers based on imaging derived biomarkers is improved with the addition of basic clinical information and to provide a practical solution to address the insecurity of classification results due to the uncertain clinical diagnosis they are based on. Methods Retro‐ and prospectively collected data from multimodal MRI and standardized clinical datasets of 229 patients with PD (n = 167), PSP (n = 44), or MSA (n = 18) underwent multinomial classification in a benchmark study comparing the performance of nine machine learning methods. …”
Get full text

Optimal Forecast Combination for Japanese Tourism Demand by Yongmei Fang, Emmanuel Sirimal Silva, Bo Guan, Hossein Hassani, Saeed Heravi

“…This study introduces a novel forecast combination method for monthly Japanese tourism demand, analyzed at both aggregated and disaggregated levels, including tourist, business, and other travel purposes. …”
Get full text

A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

“…Specifically, at the macro level, by simulating the working principles of the foveal and parafoveal areas on the retina, a parallel backbone network consisting of a foveal vision branch and a peripheral vision branch is proposed, learning high spatial frequency local details and low spatial frequency global semantics from defective images. …”
Get full text

Therapy response prediction of focal cortex stimulation based on clinical parameters: a multicentre, non-interventional study protocol by Andreas Schulze-Bonhage, Ann Mertens, Felix von Podewils, Martin Hirsch, Yaroslav Winter, Susanne Knake, Ekaterina Pataraia, Thomas Mayer, Yvonne G Weber, Rainer Surges, Jan Wagner, Hajo M Hamer, Tim Wehner, Christoph Baumgartner, Lukas Imbach, Bernhard J Steinhoff, Sotirios Kalousios, Jürgen Hesser, Matthias Dümpelmann, Elisabeth Kaufmann, Josua Kegele, Georg Leonhardt, Carlos M Quesada, Berthold R Voges

“…Currently, there is no established method for predicting FCS treatment response prior to implantation.Methods and analysis This is an ongoing combined retrospective-prospective non-interventional multicentre study. …”
Get full text

DYNAMOMETRIC EQUIPMENT FOR MEASURING THE COMPONENTS OF CUTTING STRENGTHS WHEN PROCESSING MATERIALS WITH AXIAL TOOLS by R. V. Guseynov

“…The purpose of the study is to develop dynamometric equipment for measuring the components of cutting forces when processing materials with an axial tool in a dynamic mode.Methods. The study is based on the application of electrical methods using piezoelectric and strain gauge transducers, whose main advantage is the ability to register and record fast-moving dynamic processes.Results. …”
Get full text

Discrete Fourier Transform in Unmasking Deepfake Images: A Comparative Study of StyleGAN Creations by Vito Nicola Convertini, Donato Impedovo, Ugo Lopez, Giuseppe Pirlo, Gioacchino Sterlicchio

“…This study proposes a novel forgery detection method based on the analysis of frequency components of images using the Discrete Fourier Transform (DFT). …”
Get full text

Construction and simulation of fiber optic stress wave sensing system based on wavelet packet-lamb wave damage imaging by X.L. Li, F. Liu, Q.N. Hui

“…The imaging principle of wavelet packet decomposition was selected to avoid losing low-frequency information. The experiment demonstrated that compared to the original method in view of time correlation coefficient, the method used in this study improved the signal-to-noise ratio of damaged images by 1.0112 dB, higher accuracy, better imaging quality, and more pronounced output images. …”
Get full text

Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…In terms of price prediction, the proposed AM-LSTM model outperformed traditional statistical methods, as well as machine learning and deep learning baselines, achieving improvements in MAE ranging from 43.0 to 87.4%. …”
Get full text

Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation by Xinyi Zhang, Lanfang Xie, Wanting Liu, Shaoying Liang, Liyao Huang, Mingjun Wang, Lingling Tian, Li Zhang, Zhen Liang, Hai Li, Gan Huang

“…Time and time-frequency domain analyses were performed to examine the event-related potential (ERP), event-related desynchronization (ERD), and synchronization (ERS) patterns. …”
Get full text

Mechanical and electromagnetic shielding properties of carbon fabric with graphene nanoplatelets reinforced epoxy composites by R. Suresha, H. K. Sachidananda, B. Shivamurthy, N. Kumar Swamy, Sampath Parasuram

“…Abstract In this work, carbon fabric-reinforced epoxy (CF/E) and carbon fabric/graphene nanoplatelets (1 wt%, 2 wt% and 3 wt%) reinforced epoxy (CF/GNP/E) laminates (one-layer, two-layer, and four-layer) were prepared using the hand layup method. Further, according to ASTM standards, the test samples were machined using abrasive waterjet machining, and tensile properties and hardness were studied. …”
Get full text

Enhanced Automatic Generation Control in Multiarea Power Systems: Crow Search Optimized Cascade FOPI‐TIDDN Controller With Integrated Renewable Solar Thermal Models and HVDC Lines... by Naladi Ram Babu, Pamarthi Sunitha, Ganesh Pardhu B. S. S., Sanjeev Kumar Bhagat, Adireddy Ramesh, Arindita Saha, Wulfran Fendzi Mbasso, Pradeep Jangir, Ahmed Hossam‐Eldin

Get full text

Civil Aircraft Landing Attitude Ultra-Limit Warning System Based on mRMR-LSTM by Fei Lu, Tong Jing, Chunsheng Xie, Haonan Chen

“…Subsequently, through data pretreatment methods such as data cleaning, frequency normalization, data standardization, and feature classification, the experimental dataset is transformed into a form recognizable by machine learning algorithms and neural network models. …”
Get full text

Evaluating the Effects of Three High Intensity Interval Training Protocols on Maximum Oxygen Consumption and Leg Strength in Recreational Football Athletes by Wirat Sonchan, Saralee Sonchan, Ratanyoo Longrak

“…The training programs spanned 6 weeks with a frequency of 3 sessions per week on non-consecutive days. …”
Get full text

A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques by Rizal Bakri, Bobur Sobirov, Niken Probondani Astuti, Ansari Saleh Ahmar, Pawan Kumar Singh

“…Traditional segmentation methods such as K-means are often used, but they have limitations in capturing the flexibility of school characteristics. …”
Get full text

Linear Vibrations Analysis of a Composite Sandwich Conical Shell Manufactured by Additive Technologies by Kostiantyn V. Avramov, Borys V. Uspenskyi, Borys H. Liubarskyi, Oleksii A. Smetskykh

Identifying kinematic biomarkers of the dystrophic phenotype in a zebrafish model of Duchenne muscular dystrophy by Jeffrey J. Widrick, Matthias R. Lambert, Felipe de Souza Leite, Youngsook Lucy Jung, Junseok Park, James R. Conner, Eunjung Alice Lee, Alan H. Beggs, Louis M. Kunkel

“…Instead, temporal aspects of tail kinematics, including tail maximal angular velocity during the C-start and power stroke and tail stroke frequency during burst swimming, were slowed in mutants. …”
Get full text

Indoor Positioning Systems in Logistics: A Review by Laura Vaccari, Antonio Maria Coruzzolo, Francesco Lolli, Miguel Afonso Sellitto

“…Geometric methods, particularly multilateration, proved to be the most effective for positioning and are supported by advanced filtering techniques like the Extended Kalman Filter and machine learning models such as Convolutional Neural Networks. …”
Get full text

Assessing the interactions between time series signals using weighted horizontal visibility graphs by Arya Teymourlouei, James Reggia, Rodolphe Gentili

“…The results suggested that the community similarity score generally provided an improvement over normalized MI and average layer entanglement, achieving results that compare well to established time- and frequency-domain methods. When applied to an electroencephalography dataset, the community similarity score produced results consistent with prior literature and was robust to noise. …”
Get full text

Application and prospect of artificial intelligence in empowering the operation and managment of oil and gas pipelines by Qi LIAO, Chunying LIU, Jian DU, Hao LAN, Yongtu LIANG, Haoran ZHANG

“…Additionally, by creating tag views of high-frequency key words of the collected literature, a detailed examination of the literature was performed from four branches of AI: expert systems, fuzzy logic, neural networks, and machine learning, to reveal the application domains, hotspots, and development trends of AI techniques. …”
Get full text