Smart Edge Computing Framework for Real-Time Brinjal Harvest Decision Optimization by T. Tamilarasi, P. Muthulakshmi, Seyed-Hassan Miraei Ashtiani

“…Unlike conventional object detection models, which require substantial pre-training and curated datasets, the BHDS integrates automated data acquisition and dynamic image quality assessment, enabling effective operation with minimal data input. …”
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Revolutionizing climbing perch disease management: AI-Driven solutions for sustainable aquaculture by Kosit Sriputhorn, Rapeepan Pitakaso, Surasak Matitopanum, Peerawat Luesak, Surajet Khonjun, Rungwasun Kraiklang, Chakat Chueadee, Sarayut Gonwirat

“…To address these challenges, our research introduces an innovative approach utilizing artificial intelligence (AI) and machine learning for a proactive, accurate, and efficient disease management system. We present the Climbing Perch Disease Detection and Classification System (CPDDCS), employing cutting-edge imaging and deep learning technologies to automate disease detection. …”
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Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive by ZHOU Zhansong

“…A framework of prognostics and health management (PHM) is proposed in this paper to ensure the operational safety of heavy haul locomotives. …”
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Application of lean management in medical laboratories to help treat patients with acute stroke by Nuoya Ma, Xiaofang Ding, Xudong Tang, Zhenzhu Xia, Qi Guo, Yan Yang, Kun Yan, Guoying Zou

“…Abstract This study investigated the application effect of lean management in the treatment of acute stroke in medical laboratories and evaluated the impact on laboratory turnaround time (TAT) and operator satisfaction. …”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…As a corporation's earnings are used by different financial statement users (such as shareholders, creditors, and financial analysts) to gauge its performance, detection of earnings management can be interesting and crucial for them. …”
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Clinical Risk Factors of Thrombosis in Children after Congenial Heart Diseases Management by Vasily A. Lastovka, Rustem F. Tepaev, Olga B. Gordeeva, Anuar R. Bidzhiev, Elena A. Fedyaeva

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Using the Acoustic Velocity Vector to Assess the Condition of Buried Water Pipes by Joanna Watts, Michael-David Johnson, Kirill Horoshenkov

“…These sensors can be deployed on robots to autonomously monitor the deterioration of buried pipes to support proactive asset management at a low operational cost.…”
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A novel T-shaped incision of the tunica vaginalis for managing adhesions during vasoepididymostomy by Zhuojie Liu, Jiarong Feng, Karl H. Pang, Hao Zhang, Yan Zhang

“…Purpose: To propose a novel surgical approach for managing inflammatory adhesions of the tunica vaginalis (TV) during vasoepididymostomy (VE), and to report surgical outcomes. …”
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Effective integration of drone technology for mapping and managing palm species in the Peruvian Amazon by Ximena Tagle Casapia, Rodolfo Cardenas-Vigo, Diego Marcos, Ernesto Fernández Gamarra, Harm Bartholomeus, Eurídice N. Honorio Coronado, Silvana Di Liberto Porles, Lourdes Falen, Susan Palacios, Nandin-Erdene Tsenbazar, Gordon Mitchell, Ander Dávila Díaz, Freddie C. Draper, Gerardo Flores Llampazo, Pedro Pérez-Peña, Giovanna Chipana, Dennis Del Castillo Torres, Martin Herold, Timothy R. Baker

“…Compared to plot-based methods, our drone-based approach reduces costs per hectare of an inventory of Mauritia flexuosa for a management plan by 99% (USD 5 ha-1 versus USD 411 ha-1), and reduces total operational costs and personnel time to develop a management plan by 23% and 36%, respectively. …”
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Empirical Study on Failure Prediction of Rotating Biological Contactors Available for Landfill Site Operators: Scoring Analysis Based on 17-Year Daily Inspection Reports by Hiroyuki Ishimori, Yugo Isobe, Tomonori Ishigaki, Masato Yamada

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Enhanced Swine Behavior Detection with YOLOs and a Mixed Efficient Layer Aggregation Network in Real Time by Ji-hyeon Lee, Yo Han Choi, Han-sung Lee, Hyun Ju Park, Jun Seon Hong, Ji Hwan Lee, Soo Jin Sa, Yong Min Kim, Jo Eun Kim, Yong Dae Jeong, Hyun-chong Cho

“…Effective livestock management has become essential owing to an aging workforce and the growth of large-scale farming operations in the agricultural industry. …”
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Knowledge distillation-enhanced marine optical remote sensing object detection with transformer and dual-path architecture by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Jinlin Chen

“…With the growing demand for marine surveillance and resource management, accurate marine object detection has become crucial for both military operations and civilian applications. …”
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RESPONSE- a resilient framework to manage cyber-attacks on cyber-physical process systems by Luyang Liu, Zaman Sajid, Costas Kravaris, Faisal Khan

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A Data-Driven Machine Vision Framework for Quality Management in Photovoltaic Module Manufacturing by In-Bae Lee, Youngjin Kim, Sojung Kim

“…This experiment shows that the proposed framework enables the detection of PV module defects in electroluminescence (EL) and tabbing operations with a fault detection accuracy of over 95%. …”
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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

“…Information on the harvest date of crops can help with logistics management in the agricultural industry, planning machinery operations and also with yield prediction modelling. …”
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An integrated framework for multi-commodity agricultural price forecasting and anomaly detection using attention-boosted models by Eko Sediyono, Kristoko Dwi Hartomo, Christian Arthur, Intiyas Utami, Ronny Prabowo, Raymond Chiong

“…These conditions complicate efforts to monitor and manage price behaviours in essential commodity markets. …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…The proposed models also offer good improvements in the performance of anomaly detection. In particular, accuracy improved by 5% using MDBM, the false positive rate reduced by 15% with MVAE, a more than 10% improvement in the F1-score with the attentive fusion network, a 20% reduction in reconstruction error with Deep Convolutional Autoencoder (DCA), detection precision improved by 12% using Adversarially Learned Inference (ALI) and a gain of 8% in Area Under the Curve (AUC) using Deep InfoMax (DIM) operations.…”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

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LGWheatNet: A Lightweight Wheat Spike Detection Model Based on Multi-Scale Information Fusion by Zhaomei Qiu, Fei Wang, Tingting Li, Chongjun Liu, Xin Jin, Shunhao Qing, Yi Shi, Yuntao Wu, Congbin Liu

“…Wheat spike detection holds significant importance for agricultural production as it enhances the efficiency of crop management and the precision of operations. …”
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Skin graft take rate among minor burns – A cohort study to investigate the effect of factors such as burn depth, burn size, and timing of the operation by Sinan Dogan, Arina Mahmoud, Ingrid Steinvall, Elin Albertsson, Elina Bergman, Jamila Halimi, Moustafa Elmasry

“…Methods: This retrospective study included patients with thermal injury, a burn size smaller than 11 % total body surface area (TBSA), and who were treated with a skin graft operation. Take rate at the second dressing change after operation was used as main outcome, a cut-off of 95% take rate was for the multivariable logistic regression. …”
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