Vertical stratification-enabled early monitoring of cotton Verticillium wilt using in-situ leaf spectroscopy via machine learning models by Yi Gao, Yi Gao, Changping Huang, Changping Huang, Xia Zhang, Ze Zhang, Bing Chen

“…This study deepens understanding of vertical leaf spectral dynamics and enables rapid, non-destructive in vivo detection of cotton Verticillium wilt, enhancing the applicability of portable hyperspectral devices and informing leaf-layer-aware precision disease management strategies.…”
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Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…This has made possible the detection and measurement of pathological changes in macular and retinal pathologies. …”
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Acoustic-Based Machine Main State Monitoring for High-Speed CNC Drilling by Pimolkan Piankitrungreang, Kantawatchr Chaiprabha, Worathris Chungsangsatiporn, Chanat Ratanasumawong, Peemdej Chancharoen, Ratchatin Chancharoen

“…These findings demonstrate the correlation between acoustic emissions and machining dynamics, enabling non-invasive real-time monitoring and predictive maintenance. …”
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Position Prediction Based Frequency Control of Beacons in Vehicular Ad Hoc Networks by Jizhao Liu, Quan Wang

“…A maneuver detection module is responsible for recognizing current motion patterns, and a variable dimension filter that can switch dynamically between the two patterns is employed to generate high accurate position prediction. …”
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Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis by Kyu-Hong Lee, Ro-Woon Lee, Jae-Sung Yun, Myung-Sub Kim, Hyun-Seok Choi

“…<b>Results:</b> Our AI model demonstrated high accuracy in distinguishing between different OA grades, with particular strength in early-stage detection. The model achieved optimal performance at 20 epochs, suggesting efficient learning dynamics. …”
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Intelligent deep learning-based dual-task approach for robust power quality event classification by Lipsa Ray, Pampa Sinha, Siddhanta Pani, Anshuman Nayak, Kaushik Paul, Chitralekha Jena, Md. Minarul Islam, Taha Selim Ustun

“…Ensuring the stability and reliability of modern power systems relies on accurately detecting and classifying power quality (PQ) disturbances. …”
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Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring by Bonan Wang, Yun Duan, Wei Xu

“…The algorithm was developed to recognize the loading cycles in real time. Moreover, the dynamic time warping (DTW) algorithm was used to detect and classify the preliminary recognition results by optimizing its distance threshold parameters, reducing the error rate of the model. …”
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BiFormer for Scene Graph Generation Based on VisionNet With Taylor Hiking Optimization Algorithm by S. Monesh, N. C. Senthilkumar

“…In this study, a deep learning-based optimization model, VisionNet_Taylor Hiking Optimization Algorithm (VisionNet_THOA), was introduced to generate high-quality scene graphs from noisy samples. Here, objects were detected by performing semantic segmentation using dynamic routing. …”
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Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports by Alexandre Naprous, Marta Avalos-Fernandez, Catherine Pradeau, Emmanuel Lagarde, Cedric Gil-Jardine

“…Transformer-based deep learning architectures were used to classify call reports according to the reason for the call. …”
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Diagnostic accuracy of iridocorneal angle assessment using anterior segment optical coherence tomography and gonioscopy in glaucoma patients by Neha Adlakha, Eva Rani Tirkey, Sonu Badole, Sujata Lakhtakia, Charudatt Chalisgaokar

“…Purpose: The study aimed to compare the assessment of anterior chamber angle (ACA) by gonioscopy and anterior segment optical coherence tomography (AS-OCT) in detecting angle closure in glaucoma patients. Materials and Methods: The study group included 1000 eyes of 500 glaucoma patients. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…It has proven highly effective in detecting and classifying mixed-use urban zones, delivering greater accuracy in recognition tasks than traditional clustering algorithms.…”
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Unmanned Ground Vehicle for Identifying Trees Infested with Bark Beetles by Jonathan Flores, Sergio Salazar, Iván González-Hernández, Yukio Rosales-Luengas, Rogelio Lozano

“…A rotating LiDAR sensor is used to detect trees and avoid objects. The dynamic model of the vehicle is presented, and a control algorithm is proposed for path-following. …”
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An Update on Clinical and Pathogenic Spectra of Leishmaniasis by Angamuthu Selvapandiyan, Shital Shital, Diya A’gitok Sangma, Manju Jain, Nadira Karunaweera, Nirmal K. Ganguly

“…Leishmaniasis, classified as a neglected tropical disease, exerts its impact on millions globally. …”
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Multi-temporal satellite imagery based estimation of flood extent and population exposure in Central Bihar India by Harsh Srivastava

“…Water and non-water areas were classified using a fixed threshold on radar backscatter values ( $$\sigma _{0_{VV}}$$ dB), and the Absolute Spread of Water (ASW) was calculated at 12-day intervals. …”
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Systematic Review on Automation of Central Tire Inflation System Based on Terrain Conditions by Carl Luis C. Ledesma, Charlothe John I. Tablizo, Marites B. Tabanao, Emmanuel A. Salcedo, Emmy Grace T. Requillo, John Paul T. Cruz

“…This study aims to integrate the terrain recognition component using a convolutional neural network (CNN) by reviewing previous terrain-detection models. The CTIS was enhanced to classify and detect terrain conditions and apply the correct tire pressure level. …”
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Sheep challenged with sheep-derived type II Mycobacterium avium subsp. paratuberculosis: the first experimental model of paratuberculosis in China by Meng-Yuan Li, Wei-Kang Meng, Wei Ma, Yu-Lin Ding, Bo Yang, Wei-Hong Zhao, Hasi Bayaer, Alateng Bagen, Rui-Bin Chen, Siqin Tunala, Rong Zhang, Chen-Guang Du, Li Zhao, Yong-Hong Liu

“…The severity of ileal lesions and acid-fast bacilli grading play crucial roles in the understanding of infection dynamics. Currently, early PTB diagnosis requires a combination of multiple sample types and detection methods.…”
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Microsaccades: Empirical Research and Methodological Advances by Susana Martinez-Conde, Ralf Engbert, Rudolf Groner

“…A review of 70 years research prompts a new detection method” Hauperich et al review the microsaccade properties reported between the 1940s and today, and use the stated range of parameters to develop a novel method of microsaccade detection. …”
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Laboratory Diagnosis of Hendra and Nipah: Two Emerging Zoonotic Diseases with One Health Significance by Shaun van den Hurk, Aurelle Yondo, Binu T. Velayudhan

“…Given this context, these viruses are classified as Biosafety Level 4 (BSL-4) pathogens, thus limiting research studies. …”
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Deep Learning Model for Prediction of Dementia Severity based on EEG Signals by Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad

“…The long short-term memory (LSTM) deep learning neural network was used to automatically classify dementia severity through noninvasive EEG-based recordings. …”
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QUANTIFYING THE DIFFICULTY OF SPECIFIC MOVEMENTS IN THE STRADDLE VAULT FOR ELEMENTARY SCHOOL CHILDREN by Takashi Sano, Shohei Kokudo

“…Regarding landing, DIF was detected, indicating that this movement was more difficult for 3rd graders than for 4th graders. …”
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