Research on Optimization of Improved Gray Wolf Optimization-Extreme Learning Machine Algorithm in Vehicle Route Planning by Shijin Li, Fucai Wang

“…When falling into local optimization, the current position is optimized to realize global optimization. …”
Get full text

Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC by Bruno Gomes, Jehad Charo, WeiQing Venus So, James Cai, Vitalay Fomin, Richard Alex Barbieri, Kenley Hiller-Bittrolff, Elina Koletou, Tiffany Tu

Get full text

Prediction and validation of nanowire proteins in Oleidesulfovibrio alaskensis G20 using machine learning and feature engineering by Dheeraj Raya, Vincent Peta, Alain Bomgni, Shiva Aryal, Tuyen Duc Do, Kalimuthu Jawaharraj, David R. Salem, Venkataramana Gadhamshetty, Saurabh Sudha Dhiman, Etienne Z. Gnimpieba

Get full text

Identification of Students’ Conceptual Understanding of Sound Wave Materials through the Contextual Teaching and Learning (CTL) Model by Sinta Oktaviana, Himawan Putranta

“…In comparison, the definition of sound waves had the lowest correct answer percentage of 60%, falling into the "sufficient" understanding category. …”
Get full text

Canva-based Digital Storybooks to Improve Pancasila Education Learning Outcomes for Fifth Grade of Elementary School by Noviana Astuti Damarsari, Susilo Tri Widodo

“… Learning media is an important component in learning to stimulate students to learn and learning objectives can be achieved. …”
Get full text

A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…Traditional technologies such as spectral imaging and machine learning improved cotton cultivation and processing, yet their performance often falls short in complex agricultural environments. …”
Get full text

Development of the Mbojo Culinary Application in Local Content Learning to Improve Students' Knowledge of Bima Traditional Cuisine by Laudiya Centiya Della, Mariamah Mariamah, Hardiansyah Hardiansyah

“…This research was motivated by the low level of students' knowledge of Bima traditional cuisine due to the limited availability of interactive and engaging learning media. This research aims to develop the Mbojo Culinary Application in local content learning to improve students' knowledge of Bima traditional cuisine is to produce a learning medium that is valid, effective, and practical in supporting the learning process of elementary school students.This research used the Research and Development (R&D) method using the ADDIE model (Analysis, Design, Development, Implementation, eval_uation) and a mixed methods approach. …”
Get full text

A Machine Learning Approach to Quantitative Analysis of Enamel Microstructure from Scanning Electron Microscopy Images by Carli Marsico, Cameron Renteria, Jack R. Grimm, Juliana Fernandez‐Arteaga, Donna Guillen, Dwayne Arola

Get full text

Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

“…Hence, we propose a Deep Reinforcement Learning (DRL) UAV path planning algorithm based on cumulative reward and region segmentation. …”
Get full text

Enhancing Human–Computer Interaction With Cultural Nuance: A Deep Reinforcement Learning Perspective by Xiaohui Wang

“…In this paradigm, the task of replicating the affective states of basic cultures falls to each deep neural network. A wide variety of ethnic and cultural origins can be simulated by using weighted mixtures of these basic cultural models. …”
Get full text

Orientierungen von Lehrkräften in Bezug auf die Planung und Ausgestaltung von Blended-Learning-Kursen by Can Küplüce, Denise Demski, Grit im Brahm

“…Der Beitrag gibt Einblicke in einen kontrastiven Vergleich zweier Fälle und verdeutlicht unterschiedliche Orientierungen von Lehrkräften im Zuge der Ausgestaltung des Blended Learning-Angebots. …”
Get full text

PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations by Ahmad Makhdoomi, Maryam Sarkhosh, Somayyeh Ziaei

“…The ML models performed very well in predicting the concentrations of PM2.5 with around 95% of their predictions falling within the factor of the observed concentration. …”
Get full text

Beyond the horizon: Unveiling the impact of 3D urban landscapes on residents’ perceptions through machine learning by Qing Lu, Zhangjian Ding, Muwei Li, Jianping Gu

Get full text

Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The analysis showed that 81.18% of the basin (covering 546.6 km2) falls under the less erodible class, highlighting the basin’s overall resilience to erosion. …”
Get full text

Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, FENG Qi-shuai

“…In this paper based on the analysis of deficiency of BP neural network，for reducing the error oscillation，the adaptive learning rate adjustment factor and the additional momentum is introduced. …”
Get full text

Bricolage of Recognition on Prior Learning Evaluation of Lifelong Skills of Emerging Farmers’ Farm Practices towards Agricultural Qualifications by Tshepo Teele

“…Part of the colonial mandate of the education of the apartheid system in the thoughts and minds of an authentic African scholar was to discourage learning. In the South African context, emerging farmers fall within the group of previously disadvantaged groups with low literacy levels. …”
Get full text

A Critical Assessment of Teaching and Learning Experiences During the Era of The Covid-19 Pandemic: A Case Study by Muhammad Mujtaba Mitra Zuana

“…Lastly, education during an outbreak must be seen as a community effort by the government, teachers, parents, and schools to improve the effectiveness of teaching and learning methods that use cell phones that have been hurt by the outbreak and make sure that students don't fall behind. …”
Get full text

Geographical profiling of wood samples via ATR-FTIR spectroscopy and machine learning algorithms: Application in wood forensics by Suraj Garg, Akanksha Sharma, Vishal Sharma

“…Accurate identification of wood sources is vital, yet traditional laboratory techniques often fall short in precisely determining the chemical composition of samples for classification. …”
Get full text

Research on Structural Mechanics Stress and Strain Prediction Models Combining Multi-Sensor Image Fusion and Deep Learning by Yifeng Shan, Mengzhe Zhen, Heinz D. Fill

“…This study falls within the thematic scope of multi-sensor imaging and fusion methods, emphasizing their crucial role in assessing material behavior under complex conditions. …”
Get full text

Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation by Abdul Karim, Semin Ryu, In cheol Jeong

“…Abstract Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning framework was developed by integrating Random Forest, Support Vector Machines (SVM), and Convolutional Neural Networks (CNN) to classify spectrogram images generated from percussion and palpation signals. …”
Get full text