Comprehensive examination of resting state fMRI connectomics yields new insights into brain function deficits in Gulf War illness after accounting for heterogeneity in brain impair... by Guangming Yang, Robert W. Haley, Ying Guo, Kaundinya S. Gopinath

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Deep learning based agricultural pest monitoring and classification by Stella Mary Venkateswara, Jayashree Padmanabhan

“…Abstract Precise pest classification plays an essential role in smart agriculture. Crop yields are severely impacted by pest damage, which poses a critical challenge for agricultural production and the economy. …”
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Global miniaturization of broadband antennas by prescreening and machine learning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…This study introduces an innovative machine learning procedure for cost-effective global optimization-based miniaturization of antennas. …”
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Optimizing Knowledge Transfer Graph for Deep Collaborative Learning by Soma Minami, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

“…Experimental results on eleven datasets demonstrate that the proposed approach consistently yields significant performance improvements over conventional methods employing basic combinations of the key factors and reliably identifies effective graph structures.…”
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Continuous Speech for Improved Learning Pathological Voice Disorders by Syu-Siang Wang, Chi-Te Wang, Chih-Chung Lai, Yu Tsao, Shih-Hau Fang

“…An alternative experiment based on a balanced dataset again confirms the advantages of using continuous speech for learning voice disorders.…”
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Learning to Infer Weather States Using Partial Observations by Jie Chao, Baoxiang Pan, Quanliang Chen, Shangshang Yang, Jingnan Wang, Congyi Nai, Yue Zheng, Xichen Li, Huiling Yuan, Xi Chen, Bo Lu, Ziniu Xiao

“…A combination of the learned climatological prior with few station observations yields strong posterior of spatial pattern estimates, which are spatially coherent, faithful and adaptive to observational constraints, and uncertainty‐aware. …”
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Integration of Genetic Algorithm with Machine Learning for Properties Prediction by Rathachai Chawuthai, Siripan Murathathunyaluk, Nalin Amornratthamrong, Run Arunchaipong, Amata Anantpinijwatna

“…Numerous studies have demonstrated that machine learning (ML) provides more accurate estimations of properties for oxygenated organic derivatives compared to the conventional Quantitative Structure-Property Relationship (QSPR) method. …”
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Attitudes towards Integrating Blended Learning into EFL Classrooms: by Imene Bilouk

“…The findings indicate that the participants expressed more positive attitudes towards face-to-face learning (M=3.97/SD=.91), whereas, the obtained mean of the positive indicators (M=3.74/SD=.96) was by far higher than the mean of the negative ones (M=2.87/SD=1.06), yielding positive attitudes towards both modalities of teaching/learning in EFL classes, namely face-to-face learning and blended learning, and simultaneously recommending the design of some blended learning courses. …”
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Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals by Raid Rafi Omar Al-Nima, Saba Q. Hasan, Sahar Esmaiel Mahmood

“…Couple of Deep Fingerphotos Learning (CDFL) approach is proposed, where two Deep Learning (DL) networks are involved. …”
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Optimum Medium PRF Selection Using Reinforcement Learning by Hyunhak Kim, Yeo-Sun Yoon, Jinho An

“…We applied a reinforcement learning algorithm to determine the PRF set. By applying the Deep Q-network (DQN) algorithm with hybrid rewards, we can find the PRF sets that yield the minimum blind region (maximum visible region). …”
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DEVELOPMENT AND VALIDATION OF VOCATIONAL LITERACY-BASED LEARNING MODELS by Riyan Arthur, Sunita Sunita, Arris Maulana, Eka Murtinughara

“…The result of this study is the syntax of a vocational literacy-based learning model. Findings—The final validation analysis by experts yielded validity values of 0.80 (learning design) and 0.79 (language). …”
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A guide for active learning in synergistic drug discovery by Shuhui Wang, Alexandre Allauzen, Philippe Nghe, Vaitea Opuu

“…Active learning, which integrates experimental testing into the learning process, has been proposed to address this challenge. …”
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Validation Instruments for Local Culture-Based Learning Media by Dek Ngurah Laba Laksana

“…The aim of this research is to generate validation instruments for learning media products based on design and media aspects, particularly for culturally based learning media, that exhibit both validity and reliability. …”
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Learning Face Pareidolia via Global Feature Transfer by Usfita Kiftiyani, Seungkyu Lee

“…Convolutional Neural Networks learn different details of features across various layers, progressively extracting features from low-level aspects such as edges to high-level semantic concepts. …”
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Machine learning algorithms reveal the secrets of mitochondrial dynamics by Jack J Collier, Robert W Taylor

“…In this issue of EMBO Molecular Medicine, supervised machine learning algorithms underlie a novel tool that enables automated, high throughput and unbiased screening of changes in mitochondrial morphology measured using confocal microscopy. …”
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Scaffolding the Flipped Classroom to Enhance Students’ Learning Process by Coyan Tromp

“…Regarding the effectiveness of the offered scaffolding, the findings are mixed: students did not perceive the joint classes as highly activating or yielding positive learning effects, and most preferred to prepare for flipped workgroups independently. …”
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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses by Esra Imamoglu

“…This review examines the increasing application of artificial intelligence (AI) and/or machine learning (ML) in microalgae processes, focusing on their ability to improve production efficiency, yield, and process control. …”
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Machine Learning Helps in Prediction of Tobacco Smoking in Adolescents by Hamidreza Roohafza, Elahe Mousavi, Razieh Omidi, Masoumeh Sadeghi, Mohammadreza Sehhati, Ahmad Vaez

“…Background: Considering the increasing prevalence of adolescent smoking in recent years, this study proposes a machine learning (ML) approach for distinguishing adolescents who are prone to start smoking and those who do not directly confess to smoking. …”
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Learned saccade readiness varies with fluctuations in sustained attention by Anthony W. Sali, Madison P. Shaver, Anna B. Toledo, Austin L. Torain, Isabel N. Flicker

“…Our results suggest that ongoing changes in sustained attention occur independently from gaze shifting readiness but carry consequences for learned saccade preparation.…”
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Plausible Vehicle Trajectory Augmentation With Hybrid Machine Learning by Junyeop Park, Hyeonsoo Jang, Byeongju Kang, Yunhyoung Hwang

“…Validation on the inD dataset confirms that our approach excels in expanding training datasets, yielding substantial improvements in trajectory prediction accuracy for autonomous vehicles when applied to a vanilla long short-term memory model. …”
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