Sound Quality Prediction Method of Dual-Phase Hy-Vo Chain Transmission System Based on MFCC-CNN and Fuzzy Generation by Jiabao LI, Lichi AN, Yabing CHENG, Haoxiang WANG

Get full text

Automatic Compressive Sensing of Shack–Hartmann Sensors Based on the Vision Transformer by Qingyang Zhang, Heng Zuo, Xiangqun Cui, Xiangyan Yuan, Tianzhu Hu

Get full text

Network intrusion detection based on improved KNN algorithm by Hongsheng Bao, Jie Gao

Get full text

Aleatoric and Epistemic Uncertainty Reduction for Vision-Based Landing System for Fixed-Wing Aircraft: VLS-FWA by Dheeraj Bharti, K. S. Venkatesh

Get full text

Effect of self-care education via distance learning and the reversal method on self-care behaviors and quality of life in patients with heart failure: A quasi-experimental study by Zahra Khezerlou, Nader Aghakhani, Rozita Cheraghi, Vahid Alinejad

“…However, after the intervention, the mean scores of self-care education and quality of life, except for the physical dimension, were statistically significant among the three groups (P=0.0001). Based on the positive impact of both the reversal and distance learning methods on self-care and quality of life in heart failure patients, it is recommended to use these two educational methods due to their simplicity and ease of application in educating these patients.…”
Get full text

The efficacy of psychological capital training on positive emotions and academic optimism among students by Masoumeh Besharati Pour, Alireza Hajiyakhchali, Manigah Shehni Yailagh, Gholamhossien Maktabi

“…Background: As students’ progress through their formal education, they experience a range of emotions - both positive and negative-associated with their learning. …”
Get full text

Crowdsourced Indoor Positioning: Integrating 5G NR and WiFi Technologies by P. Ye, L. Chen

“…Crowdsourced WiFi and mobile communication signal fingerprinting are critical for achieving large-scale indoor positioning for consumers. However, existing crowdsourced positioning solutions are not suitable for typical environments like shopping malls due to the need for additional equipment, and their learning methods often have low computational efficiency and generalization ability in complex environments. …”
Get full text

Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network by Yuanfang Peng, Chenglin Cai, Zexian Li, Kaihui Lv, Xue Zhang, Yihao Cai

Get full text

Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks by Lorenzo Pitto, Frédéric R. Simon, Geoffrey N. Ertel, Gérome C. Gauchard, Guillaume Mornieux

Get full text

Midwives’ experiences with simulation-based team training in newborn resuscitation: impacts on clinical practice by Liza Olsen-Bremmeng, Linda Wike Ljungblad

“…Specifically, the study seeks to highlight how simulation-based team training can enhance teamwork, strengthen professional competencies, improve team communication, and positively influence patient outcomes in neonatal care. …”
Get full text

A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism by Yunyun Liang, Minwei Li

“…In this paper, we propose an effective model named DeepMM-Kcr, which is based on multiple features and an innovative deep learning framework. …”
Get full text

Validity and Reliably Test: An Analysis of Students’ Comprehension and Skill in Applied Physics by Melly Angglena, Fhandy Pandey

“… The low level of students’nderstanding of basic physics concepts impacts their learning outcomes. To address this issue, several teaching methods were implemented, including project-based learning (PBL), problem-solving, simulation, interactive discussions, and group presentations. …”
Get full text

SVD-Based Feature Reconstruction Metric Network With Active Contrast Loss for Few-Shot SAR Target Recognition by Jia Zheng, Ming Li, Xiang Li, Peng Zhang, Yan Wu

“…Furthermore, an active contrastive loss is proposed to reduce the distance between features of the same class and increase the separability between features of different classes by selecting representative samples to establish positive-negative sample pairs. Experimental results demonstrate that our proposed algorithm can achieve comparable metric performance compared to other metric-based few-shot learning methods.…”
Get full text

A Phenomenological Study on the Lived Experiences of Physics Students in Laboratory Classes by Cara Luz Buar

“…An example of experience-based learning would be doing experiments in the classroom. …”
Get full text

Study on the effect of pulsed eddy current lift-off characteristics for feeding metallic foreign objects detection in coal mine crushers by Benchang Meng, Zezheng Zhuang, Jiahao Ma, Sihai Zhao

Get full text

A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

Get full text

THE IMPACT OF TMIP-BASED WEB IN TEACHING TOEFL ON STUDENTS' TOEFL SCORES by Ahmad Nusi, M Zaim, Yelliza Yelliza

“…The study conducted at the Practical Language Learning Center (PLLC) aimed to compare the effectiveness of two teaching methods for TOEFL preparation: the TMIP-Based Web in Teaching TOEFL method and a conventional approach or no specific intervention. …”
Get full text

Serious Games in Entrepreneurship Classroom: Pedagogical Implications and Outcomes by Hui Yan Yeong, Ann Rosnida Md Deni

Get full text

Indian SUMO traffic scenario-based misbehaviour detection dataset for connected vehicles by Umesh Bodkhe, Sudeep Tanwar

“…The proposed dataset includes cases of false data injections affecting the vehicle position, heading, and speed information within BSMs. …”
Get full text

Early diagnosis of sepsis-associated AKI: based on destruction-replenishment contrast-enhanced ultrasonography by Zexing Yu, Xue Shi, Yang Song, Xin Li, Ling Li, Huiyu Ge

“…ObjectiveEstablish a deep learning ultrasound radiomics model based on destruction-replenishment contrast-enhanced ultrasound (DR-CEUS) for the early prediction of acute kidney injury (SA-AKI).MethodThis paper proposes a deep learning ultrasound radiomics model (DLUR). …”
Get full text