State-of-the-Art Techniques for Fruit Maturity Detection by Jie Ma, Minjie Li, Wanpeng Fan, Jizhan Liu

“…Recently, deep learning technology has become a widely used method for intelligent fruit detection, due to it having higher accuracy, reliability, and a faster processing speed compared with traditional image-processing methods. …”
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Magnetic separation of ash and slag residues for their multi-component utilization: An overview by Lucie Bartoňová, Filip Kovár, Marek Kucbel

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Burning rate research of NEPE propellant containing CL-20 on the base of improved Canny edge detection and PSO-BP by Cai Wenxiang, Yu Xintong, Wang Zhixiang

“…The entire combustion process of the propellant is captured by a high-speed camera. …”
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A belief propagation algorithm based on track‐before‐detect for tracking low‐observable and manoeuvering targets using multiple sensors by Chenghu Cao, Haisheng Huang, Xin Li, Yongbo Zhao

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A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data by Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu

“…This innovative approach offers a more unified, efficient solution for processing vector shape data across different applications.…”
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Tourist experiences: a systematic literature review of computer vision technologies in smart destination visits by Abhijeet Panigrahy, Anil Verma

“…Originality/value – The study’s originality lies in its thorough examination of CV’s role in tourism, covering facial recognition, crowd insights, AR and image processing for sustainability. It addresses ethical concerns and proposes advancements for a more responsible and sustainable tourist experience, offering novel insights for industry development.…”
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Enhanced Comparative Analysis of Pretrained and Custom Deep Convolutional Neural Networks for Galaxy Morphology Classification by Tram Le, Nickson Ibrahim, Thu Nguyen, Thanyaporn Noiplab, Jungyoon Kim, Deepshikha Bhati

“…Traditionally, this classification has been a manual and labor-intensive process requiring significant astronomical expertise. …”
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Long-Short Term Memory Networks and Synthetic Data for Heavy Vehicle Rollover Prevention by Guido Perboli, Antonio Tota, Filippo Velardocchia

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Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution by Zaiyang Yu, Shuang Li, Linjun Sun, Liang Liu, Wang Haining

“…Meanwhile, compared with other quantisation methods on language modelling task, our approach is more accurate. We validated the effectiveness of our policy on the WikiText-103 and PENN Treebank datasets. …”
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Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques by Etana Fikadu Dinsa, Mrinal Das, Teklu Urgessa Abebe, Krishnaraj Ramaswamy

“…The main tasks in this work are preparing the corpus, pre-processing, training the models, and the classification process. …”
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Grasping Variance in Word Norms: Individual Differences in Motor Imagery and Semantic Ratings by Emiko J. Muraki, Sydney Born, Penny M. Pexman

“…We observed a significant relationship between motor imagery vividness and absolute rating difference scores, wherein people with more vivid motor imagery provided ratings that were further from the mean word ratings. …”
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A CNN-transformer framework for emotion recognition in code-mixed English–Hindi data by Shreya Patankar, Madhura Phadke

“…This data needs to be processed to extract meaningful insights and analyze emotions from text, enhancing various Natural Language Processing (NLP) applications. …”
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Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms by Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao

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Context-Based Model for Browsing the Web Through Voice by Citlalli Selene Avalos Montiel, José G. Rodríguez García, Sonia Mendoza, Dominique Decouchant

“…To find useful information on the Web, a user must define the search according to their interests, then they must select and analyze one or more web pages, and finally they must decide which content is most useful to them. …”
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The Effects of Age-of-Acquisition on Ambiguity Resolution: Evidence from Eye Movements by Barbara J. Juhasz, Margaret M. Gullick, Leah W. Shesler

“…When prior context disambiguated the ambiguous word, meaning AoA influenced the processing of the target word. However, when disambiguating sentence context followed the ambiguous word, meaning frequency was the more important variable and no effect of meaning AoA was observed. …”
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Whey - From waste to a valuable resource by Volodymyr Besediuk, Mykola Yatskov, Natalia Korchyk, Alla Kucherova, Zakhar Maletskyi

“…Globally produced whey volume is estimated at more than 10 billion tons per year, and only 50 % of the total amount is processed and turned into products that are safe for the environment. …”
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Impact of Post-Harvest Technology Adoption on the Well-Being of Pepper Farmers in Kegalle, Sri Lanka by Adikaram W.A.M.K., Malkanthi S.H.P., Piyasena K.D.M.L.

“…The findings suggest that the adoption of modern post-harvest processing technologies substantially enhances the overall well-being of pepper farmers in Sri Lanka.…”
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Micro-Mobility Safety Assessment: Analyzing Factors Influencing the Micro-Mobility Injuries in Michigan by Mining Crash Reports by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…This research addresses these challenges by pioneering the integration of image-processing techniques with machine learning methodologies to analyze crash diagrams. …”
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Evaluating YOLO Variants With Transfer Learning for Real-Time UAV Obstacle Detection in Simulated Forest Environments by Shouthiri Partheepan, Farzad Sanati, Jahan Hassan

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In vitro accuracies of 3D printed models manufactured by two different printing technologies by Faruk Emir, Gülsüm Ceylan, Simel Ayyıldız

“…DLP printed models were more precise than the PolyJet printed models (p<0.001).Conclusion:The 3D printing technologies showed significant differences in the trueness of full-arch measurements. …”
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