Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning by Seung Hyun Kim, Jun Byung Park, Jae Yoon Na, Shahzad Ahmed, Jihyun Keum, Hyun-Kyung Park, Sung Ho Cho

“…This study presents a novel frequency modulated continuous wave (FMCW) radar-based machine learning (ML) system designed for early screening to predict and identify infants at high risk for poor neurodevelopmental outcomes. …”
Get full text

THE COLLABORATIVE DESIGNING OF A PERSONALIZED HYBRID LMS USING A VIRTUAL MACHINE IN A CLOUD ENVIRONMENT by Lina Čeponienė, Péter Galambos, Tamás Haidegger, Dariusz Mikulowski, Branislav Mišota, Oliver Moravcik, Enikő Nagy, Mariya P. Shyshkina, Pavel Smolka, Stefan Svetsky

Get full text

Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

Get full text

Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

Get full text

A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features by Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li

Get full text

A Parallel Support Vector Machine algorithm to identify patterns of pollution in Smart Cities for Metropolitan Zone of Guadalajara by Martha Patricia Martínez Vargas, Elsa Estrada Guzmán, Roció Maciel Arellano

Get full text

Investigating combined hypoxia and stemness indices for prognostic transcripts in gastric cancer: Machine learning and network analysis approaches by Sharareh Mahmoudian-Hamedani, Maryam Lotfi-Shahreza, Parvaneh Nikpour

Get full text

Control of Three-to-Five-Phase Matrix Converter Using Carrier-Based PWM Algorithm by Said M Allam, Sherif M Dabour, Essam M Rashad

Get full text

Modulating physical properties of ASnF3 (A = K, Rb) perovskites under pressure: Insights for enhanced optoelectronic performance via first-principles by Md N.J. Rifat, Mohammad Nazmul Hasan, Jahid Kabir Rony, Md Murshidul Islam, Md Saiduzzaman, Minhajul Islam

Get full text

Sistem Deteksi Myocardial Infarction Berdasarkan Pathological Q Waves Dan ST Segment Elevation Menggunakan Metode Support Vector Machine by Ragil Hadi Prasetyo, Edita Rosana Widasari, Agung Setia Budi

Get full text

Hybrid high-performance computing enhanced machine learning framework for nano-thermal conductivity in MWNT-oil-based solar cooking systems by Nischal P. Mungle, Sumit Kumar, Dnyaneshwar M. Mate, Sham H. Mankar, Tejas R. Patil, Hirkani Padwad, Niteen T. Kakade, Nilesh Shelke, Haytham F. Isleem, Vikrant S. Vairagade

Get full text

Turboshaft gas turbine engine thermodynamics calculation method based on blade machine blade to blade description.Part III. Turbine parameters calculation by Lyudmila Boyko, Nataliya Pizhankova

Get full text

El Diseño Modular en el contexto del desarrollo de Máquinas Herramienta Reconfigurables. // Modular Design in the development of reconfigurable Machine Tools´ context. by R. Pérez Rodríguez, H. Ahuett Garza, A. Molina Gutiérrez, C. Rodríguez González

Get full text

Research progress and mitigation strategies for pod shattering resistance in rapeseed by Li Liu, Hafiz Hassan Javed, Yue Hu, Yu-Qin Luo, Xiao Peng, Yong-Cheng Wu

Get full text

Characterization of birefringent Bragg gratings waveguides inscribed with the Femtoprint device by M.Tunon de Lara, L.Amez Droz, K. Chah, P. Lambert, C. Collette, C. Caucheteur

“…This analysis reveals important findings about the actual implemented refractive index modulation. For the investigated pulse energy (130 nJ), repetition rate (1 MHz) and scanning speed of the fs laser pulses beam, we show that the refractive index modification in the waveguide determined by DHM analysis lies in the range of 10-3. …”
Get full text

A single flow detection enabled method for DDoS attacks in IoT based on traffic feature reconstruction and mapping by Lixia XIE, Bingdi YUAN, Hongyu YANG, Ze HU, Xiang CHENG, Liang ZHANG

“…To address the slow response time of existing detection modules to Internet of things (IoT) distributed denial of service (DDoS) attacks, their low feature differentiation, and poor detection performance, a single flow detection enabled method based on traffic feature reconstruction and mapping (SFDTFRM) was proposed.Firstly, SFDTFRM employed a queue to store previously arrived flow based on the first in, first out rule.Secondly, to address the issue of similarity between normal communication traffic of IoT devices and DDoS attack traffic, a multidimensional reconstruction neural network model more lightweight compared to the baseline model and a function mapping method were proposed.The modified model loss function was utilized to reconstruct the quantitative feature matrix of the queue according to the corresponding index, and transformed into a mapping feature matrix through the function mapping method, enhancing the differences between different types of traffic, including normal communication traffic of IoT devices and DDoS attack traffic.Finally, the frequency information was extracted using a text convolutional network and information entropy calculation and the machine learning classifier was employed for DDoS attack traffic detection.The experimental results on two benchmark datasets show that SFDTFRM can effectively detect different DDoS attacks, and the average metrics value of SFDTFRM is a maximum of 12.01% higher than other existing methods.…”
Get full text

A Dynamic Monitoring Framework for Spring Low-Temperature Disasters Affecting Winter Wheat: Exploring Environmental Coercion and Mitigation Mechanisms by Meixuan Li, Zhiguo Huo, Qianchuan Mi, Lei Zhang, Jianying Yang, Fengyin Zhang, Rui Kong, Yi Wang, Yuxin Huo

“…This study establishes a low-temperature disaster (LTD) monitoring system based on machine learning algorithms, which primarily consists of a module for identifying types of disasters and a module for simulating the evolution of LTDs. …”
Get full text

Automated Design Method Based on Boosting Algorithms for Improving the Radiation Performance of Microstrip Antenna Arrays by Sina Hasibi Taheri, Ali Lalbakhsh, Amirhassan Zareanborji, Slawomir Koziel

Get full text

An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction by Agung Fatwanto, Muh Nur Aslam, Rebbecah Ndugi, Muhammad Syafrudin

Get full text

Multi-Target Mechanism of Compound Qingdai Capsule for Treatment of Psoriasis: Multi-Omics Analysis and Experimental Verification by Qiao Y, Li C, Chen C, Wu P, Yang Y, Xie M, Liu N, Gu J

“…Imiquimod (IMQ) induced psoriasis-like rat validated the anti-psoriasis effect of CQC by alleviating symptoms, reducing spleen and thymus index, and modulating the expressions of core targets at mRNA and protein levels.Conclusion: CQC effectively modulates the expression levels of AURKB, CCNB1, CCNB2, CCNE1, CDK1, and JAK3 through various ingredients, such as astilbin, salvianolic acid A, and engeletin, via multiple pathways, thereby alleviating psoriasis-like symptoms. …”
Get full text