Prediction of sugar beet yield and quality parameters using Stacked-LSTM model with pre-harvest UAV time series data and meteorological factors by Qing Wang, Ke Shao, Zhibo Cai, Yingpu Che, Haochong Chen, Shunfu Xiao, Ruili Wang, Yaling Liu, Baoguo Li, Yuntao Ma

“…Accurate pre-harvest prediction of sugar beet yield is vital for effective agricultural management and decision-making. …”
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Post-critical perspectives in Social Movement Learning by Kamila Szyszka

“…This article argues that integrating the post-critical perspective into SML can yield a novel understanding of pertinent issues within this subfield. …”
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Solving the RNA design problem with reinforcement learning. by Peter Eastman, Jade Shi, Bharath Ramsundar, Vijay S Pande

“…We use reinforcement learning to train an agent for computational RNA design: given a target secondary structure, design a sequence that folds to that structure in silico. …”
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An investigation of subtitles as learning support in university education by Wing Shan Chan, Jan-Louis Kruger, Stephen Doherty

“…As a result, there is insufficient evidence on the cognitive processing and impact of subtitles as learning support for learners in a L2 educational environment. …”
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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…The classification resulting from this model yielded high accuracy with robust results for different attack scenarios. …”
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The Middle Space: On Blogs and Beyond in Blended Learning by Liat Biberman-Shalev, Nurit Chamo

“…Applying a qualitative approach, analyses of 528 PSTs’ blog posts, transcriptions of two focus groups with 11 PSTs, and 3 TEs’ reflections and discussion transcripts yielded four themes that related to both the PSTs’ and the TEs’ perspectives regarding the integration of blogs into BL: (1) keeping sequential learning, (2) supporting self-directed learning, (3) keeping a sense of a learning community, and (4) increasing motivation and critical thinking. …”
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Advances in Corneal Diagnostics Using Machine Learning by Noor T. Al-Sharify, Salman Yussof, Nebras H. Ghaeb, Zainab T. Al-Sharify, Husam Yahya Naser, Sura M. Ahmed, Ong Hang See, Leong Yeng Weng

“…The Decision Tree achieved classification accuracy of 62% for training and 65.7% for testing, while Nearest Neighbor Analysis yielded 65.4% for training and 62.6% for holdout samples. …”
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The Application of Deep Learning in Dance Movement Design by Xiang Ju

“…Abstract This paper proposed deep learning for designing dance movements by estimating dance poses. …”
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Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis by Nadir El Bouanani, Ahmed Laamrani, Hicham Hajji, Mohamed Bourriz, Francois Bourzeix, Hamd Ait Abdelali, Ali El-Battay, Abdelhakim Amazirh, Abdelghani Chehbouni

“…However, agricultural yields in Africa are far below their potential. One of the challenges leading to low productivity is Africa‘s poor soil quality. …”
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The impact of project-based learning on EFL learners’ learning motivation and academic performance: an empirical study in a Chinese rural school by Panpan Yang, Sirui Chen, Wenlan Zhang, Jiawei Chen

“…The quantitative results showed that the projected-based language learning (PBLL) enhanced EFL learners’ learning motivation, whereas its impact on academic achievement tests yielded limited effects. …”
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Instructional Design of Problem-Based Learning Models: A Strategy for Improving Students' Critical Thinking Abilities in Learning News Texts by Ayu Fitriyah, Rika Ayatin, Rya Sugiarti, Abdul Rozak, Tri Pujiatna

“…Following the development of the instructional design, it underwent validation by both learning experts and practitioners. The validation process yielded high scores, with learning experts rating it at 95.83% and practitioners at 88.89%, resulting in an overall average validity score of 92.36%, categorizing the design as highly valid. …”
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Examining predictors of perceived usefulness of learning management system from the perspectives of distance learning students: an application of the information success model by Amjid Khan, Arshad Hussain Afridi, Muhammad Kamal Khan, Pervaiz Ahmad

“…Next, a cross-sectional survey method was applied, and a close-ended 5-point Likert scale questionnaire was adopted to collect data from the target samples, yielding an 88.2% (n = 247) response rate. Findings – The study found a positive perception of respondents regarding the “information quality,” “system quality,” “readiness for online learning,” “service quality,” “use of LMS,” “perceived usefulness” and “user satisfaction” of Aaghi LMS. …”
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Estimation of Potato Growth Parameters Under Limited Field Data Availability by Integrating Few-Shot Learning and Multi-Task Learning by Sen Yang, Quan Feng, Faxu Guo, Wenwei Zhou

“…Leaf chlorophyll content (LCC), leaf area index (LAI), and above-ground biomass (AGB) are important growth parameters for characterizing potato growth and predicting yield. While deep learning has demonstrated remarkable advancements in estimating crop growth parameters, the limited availability of field data often compromises model accuracy and generalizability, impeding large-scale regional applications. …”
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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…In this paper, a novel and robust deep spatio-textural acoustic feature ensemble-assisted learning environment is proposed for violence detection in surveillance videos (DestaVNet). …”
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Canopy extraction of mango trees in hilly and plain orchards using UAV images: Performance of machine learning vs deep learning by Yuqi Yang, Tiwei Zeng, Long Li, Jihua Fang, Wei Fu, Yang Gu

“…The visible light images of mango orchards with different geomorphological characteristics were collected by a UAV, and the canopies were accurately extracted, and their canopy areas were accurately predicted based on deep learning method in this study. Firstly, visible light images collected by a UAV were used to segment and extract mango tree canopies using various machine learning (ML) and deep learning (DL) models. …”
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Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study by Yi Xie, Yi Xie, Xinmeng Wang, Huiwen Yang, Huiwen Yang, Jiayao Zhang, Honglin Wang, Zineng Yan, Jiaming Yang, Zhiyuan Yan, Zhiwei Hao, Pengran Liu, Yijie Kuang, Zhewei Ye, Zhewei Ye

“…BackgroundWhile artificial intelligence (AI) has revolutionized medical diagnostics, conventional centralized AI models for medical image analysis raise critical concerns regarding data privacy and security. Swarm learning (SL), a decentralized machine learning framework, addresses these limitations by enabling collaborative model training through secure parameter aggregation while preserving data locality. …”
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Genome-Wide Association Study and Genomic Prediction of Essential Agronomic Traits in Diversity Panel of Soybean Varieties by Qianli Dong, Yuting Cheng, Yiyang Li, Yan Tong, Dazhuang Liu, Jiaxin Yu, Na Zhao, Bao Liu, Xiaoyang Ding, Chunming Xu

“…Through genome-wide association studies (GWASs), we identified 64 significantly associated loci (SALs) for 15 traits and unveiled the genetic interconnections between yield and related traits. Additionally, we highlighted a few candidate genes within SALs for yield and related traits. …”
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DEVELOPMENT OF A PROBLEM BASED LEARNING E-MODULE WITH THE ASSISTANCE OF CANVA ON THE MATERY OF BALANCE AND ROTATIONAL DYNAMICS TO GROW STUDENTS' INTEREST IN LEARNING by Bone Komala Senja, Rosane Medriati, Desy Hanisa Putri

“…Expert validation sheet instruments consisting of aspects  of content feasibility, material presentation, language, media, PBL  and interest in learning can be seen that the development  of e-modules is very feasible with an average percentage of 88.54% and student   perception results which has 3 aspects, namely the appearance, presentation of material and benefits has an average yield of 81.81% of 3 Bengkulu City High Schools which can be categorized as very good. …”
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Integrating Machine Learning and Deep Learning for Predicting Non-Surgical Root Canal Treatment Outcomes Using Two-Dimensional Periapical Radiographs by Catalina Bennasar, Antonio Nadal-Martínez, Sebastiana Arroyo, Yolanda Gonzalez-Cid, Ángel Arturo López-González, Pedro Juan Tárraga

“…<b>Results</b>: The association study yielded a <i>p</i>-value of 0.000000127, highlighting the predictive capability of 2D radiographs. …”
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Predicting Sweet Pepper Yield Based on Fruit Counts at Multiple Ripeness Stages Monitored by an AI-Based System Mounted on a Pipe-Rail Trolley by Kota Shimomoto, Mitsuyoshi Shimazu, Takafumi Matsuo, Syuji Kato, Hiroki Naito, Masakazu Kashino, Nozomu Ohta, Sota Yoshida, Tokihiro Fukatsu

“…Furthermore, we investigated the relationship between fruit counts at different ripeness stages and the total yield in the cultivation area, and we assessed the accuracy when predicting the yield for the following week. …”
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