Wi-Pest:a method for detecting stored grain pests based on CSI by Shaowei SHAN, Weidong YANG, Le XIAO, Ke WANG

Get full text

Developing a Comprehensive Physical Education Curriculum in Secondary Schools: Identifying and Exploring the Key Components of Content by Yurij Vaskov

Get full text

Ultrasound Diagnosis of Hamstring Muscle Complex Injuries Focus on Originate Tendon Structure—Male University Rugby Players by Makoto Wada, Tsukasa Kumai, Takumi Okunuki, Takeshi Sugimoto, Kotaro Ishizuka, Yasuhito Tanaka

“…<b>Results:</b> The distribution was 40 limbs (77%) for BFLH-ST complex injury type and 12 limbs (23%) for SM injury type. In the BFLH complex type,19 limbs which met the Type I classification criteria for CT tear, 19 limbs met the Type II, and 2 limbs met the Type III. …”
Get full text

Geometric morphometrics approach for classifying children’s nutritional status on out of sample data by Medialdea Laura, Arribas-Gil Ana, Pérez-Romero Álvaro, Gómez Amador

Get full text

Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

Get full text

Information-Enhanced Graph Neural Network for Transcending Homophily Barriers by Xiao Liu, Lijun Zhang, Hui Guan

“…Specifically, INGNN outperforms 12 state-of-the-art MPNNs with an average rank of 1.78 on 9 real node classification datasets. …”
Get full text

APDL: an adaptive step size method for white-box adversarial attacks by Jiale Hu, Xiang Li, Changzheng Liu, Ronghua Zhang, Junwei Tang, Yi Sun, Yuedong Wang

Get full text

Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

Get full text

MobileNet-HeX: Heterogeneous Ensemble of MobileNet eXperts for Efficient and Scalable Vision Model Optimization by Emmanuel Pintelas, Ioannis E. Livieris, Vasilis Tampakas, Panagiotis Pintelas

Get full text

Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets by Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, Ayman Atia

Get full text

The application of machine learning approaches to classify and predict fertility rate in Ethiopia  by Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie

Get full text

Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

Get full text

Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning by Mona Ebadi Jalal, Omar S. Emam, Cristián Castillo-Olea, Begoña García-Zapirain, Adel Elmaghraby

Get full text

Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

Get full text

Leucine-Rich Repeat Protein Family Regulates Stress Tolerance and Development in Plants by Hao Zhiqi, Wang Tingyi, Chen Dongdong, Shen Lan, Zhang Guangheng, Qian Qian, Zhu Li

Get full text

Nanopore-based random genomic sampling for intraoperative molecular diagnosis by Francesco E. Emiliani, Abdol Aziz Ould Ismail, Edward G. Hughes, Gregory J. Tsongalis, George J. Zanazzi, Chun-Chieh Lin

Get full text

Utilizing MFCCs and TEO-MFCCs to Classify Stress in Females Using SSNNA by Nur Aishah Zainal, Ani Liza Asnawi, Siti Noorjannah Ibrahim, Nor Fadhillah Mohamed Azmin, Norharyati Harum, Nora Mat Zin

Get full text

Is the freezing index a valid outcome to assess freezing of gait during turning in Parkinson’s disease? by Maaike Goris, Pieter Ginis, Clint Hansen, Christian Schlenstedt, Christian Schlenstedt, Jeffrey M. Hausdorff, Jeffrey M. Hausdorff, Jeffrey M. Hausdorff, Nicholas D’Cruz, Wim Vandenberghe, Wim Vandenberghe, Walter Maetzler, Alice Nieuwboer, Moran Gilat

Get full text

Revues qui comptent, revues qu’on compte :produire des classements en économie et gestion by David Pontille, Didier Torny

Get full text

Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…At the same time, the highest mean classification accuracy for the 12 participants was achieved using the pipeline with the combination of CSP STFT algorithm, reaching 75.5% for LKM-Self/ non-meditation for the case of 5 sessions of data. …”
Get full text