FlowerPatch: New Method to Measure Nectar Volume in Artificial Flowers by Edwin Lara-Perez, Jose Agosto Rivera, Tugrul Giray, Remi Megret Laboye, Edwin Flórez Gómez

“…The proposed approach provides more detailed information about the nectar consumption by bees and allows for the determination of the optimal time to refill the flowers. This study introduces an innovative method that uses electrodes and an oscillator circuit to measure the volume of nectar present in the flower. …”
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Method for Predicting the Outcome of Burn Injury Based on a Mathematical Model by E. A. Zhirkova, T. G. Spiridonova, O. G. Sinyakova, A. V. Sachkov, A. O. Medvedev, E. I. Eliseenkova, I. G. Borisov, M. L. Rogal, S. S. Petrikov

“…Known models for predicting the outcome of burn injury are inaccurate and do not allow us to determine the probability of different outcomes for a particular patient.AIM OF THE STUDY. To develop a method for individual prediction of the outcome of burn injury based on a mathematical model using the revised Frank index.MATERIAL AND METHODS. 399 patients: men 283 (71%), women 116 (29%); age — 50 (36; 66) years; total burn area — 25 (15; 40) % TBSA, I–II degree — 20 (10; 30) % TBSA, III degree — 8 (3; 20) % TBSA. …”
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Smart deep learning model for enhanced IoT intrusion detection by Faisal S. Alsubaei

“…These results highlight the potential of our proposed method to enhance intrusion detection, system integrity, fraud prevention, and ultimately optimize overall network performance.…”
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Multi-method evaluation of volatile flavor compounds in five kiwifruit varieties by ZENG Shuo, GUO Xinyu, NIU Dongsheng, LI Feng

“…The purpose of this study is to provide a valuable theoretical foundation for the fermentation process of kiwifruit wine and the selection of specialized brewing materials. [Methods] In this study, five kiwifruit varieties (Xuxiang, Hayward, Huayou, Jinyan, and Hongyang) were selected as raw materials. …”
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Kneeliverse: A universal knee-detection library for performance curves by Mário Antunes, Tyler Estro, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl Waldspurger, Avani Wildani, Erez Zadok

“…Kneeliverse further includes Z-Method, a recently developed algorithm specifically designed for multi-knee detection.…”
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GNSS time series analysis of the crustal movement network of China: Detecting the optimal order of the polynomial term and its effect on the deterministic model by Shuguang Wu, Hua Ouyang, Houpu Li, Zhao Li, Haiyang Li, Yuefan He

“…This finding reminds us that the detection of the optimal-order polynomial is necessary when we aim to acquire an accurate understanding of the crustal movement features.…”
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Cancer Diagnosis Optimization With a Combination of Flexible THz Antennas and Machine Learning by M. Senthil Pandian, S. Deepa Nivethika, J. Idhikash, Vamsee N. Yashwanth, Aishwarya Shaji, Prabhakaran Paulraj

“…ABSTRACT Cancer continues to be a leading cause of mortality worldwide, emphasizing the importance of early detection for effective treatment. Macroscopic methods like X‐ray and CT scans offer limited resolution and pose risks due to ionizing radiation exposure. …”
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Remediation and stabilization of contaminated subsoil under existing buildings – case study by Ewa Iwanicka, Sylwia Janiszewska, Eugeniusz Koda

“…The increased content of the surface layer in the area of petroleum substances was neutralized by bioremediation, while in the case of detection of increased content of heavy metals in the form of arsenic at the construction site, the stabilization method designed was used. …”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…For the problem of evaluating the effectiveness of cooperative jamming to group network radar by formation aircraft, a cooperative jamming effectiveness evaluation method based on Improved Particle Swarm Optimization–Extreme Learning Machine (IPSO-ELM) is proposed. …”
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A New Hybrid Machine Learning Method for Stellar Parameter Inference by Sujay Shankar, Michael A. Gully-Santiago, Caroline V. Morley

“…Here we introduce a hybrid ML (HML) method combining automatic differentiation, interpolation, and Bayesian optimization to infer stellar parameters of stellar spectra. …”
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An edge awareness-enhanced visual SLAM method for underground coal mines by Qi MU, Xin LIANG, Yuanjie GUO, Yuhao WANG, Zhanli LI

“…These scenes lead to challenges of insufficient effective features and high mismatch rates to the visual simultaneous localization and mapping (SLAM) system, severely compromising its localization accuracy and robustness. MethodsThis study proposed an edge awareness-enhanced visual SLAM method. …”
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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…The long-term preservation of heritage structures relies on effective Structural Health Monitoring (SHM) systems, where sensor placement is key to ensuring early damage detection and guiding conservation efforts. Optimal Sensor Placement (OSP) methods offer a systematic framework to identify efficient sensor configurations, yet their application in historical buildings remains limited. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

“…The soil TN content distribution map generated based on GF-5 hyperspectral remote sensing data is detailed and consistent with results from other methods, providing technical support for future large-scale quantitative detection of soil nutrient status and rational fertilization.…”
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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…However, many navigation methods are available, and efficient object detection (OD) methods for visually impaired people (VIP) need to be improved. …”
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Email Spam Detection Using a Hybrid Approach of Feedforward Neural Network and Penguin Optimization Algorithm by Layth Al-busultan

“…The overall proposed method pushes the spam-detection field forward, but it also demonstrates something even broader: the power of hybrid approaches in machine learning. …”
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Predictive Maintenance of HVAC Systems using Deep Learning for Optimized Building Energy Efficiency by Seyed Abolfazl Aghili, Amin Haji Mohammad Rezaei, Mostafa Khanzadi

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Optimization of ultrasound-assisted extraction method of Syzygium cumini leaves based on extraction yield, content of bioactive compound, and inhibition of dipeptidyl peptidase IV... by Endra Pujiastuti, Agung Endro Nugroho, Khoirun Nisa, Triana Hertiani

“…Syzygium cumini leaves show potential to be developed as herbal medicine products against diabetes mellitus due to their high polyphenol contents. S. cumini was optimized using response surface methodology and Box–Behnken design with solvent solid ratio, solvent concentration, time and temperature, extraction yield, total flavonoid content (TFC), total phenolic content (TPC), and dipeptidyl peptidase IV (DPP-IV) enzyme inhibitory activity to obtain an effective and optimal extraction method. …”
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Developing a novel TaqMan qPCR assay for optimizing Salmonella Pullorum detection in chickens by Hao Wang, Xiamei Kang, Longhai Yu, Haijian Wang, Anja Müller, Corinna Kehrenberg, Yan Li, Min Yue

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APPSO‐NN: An adaptive‐probability particle swarm optimization neural network for sensorineural hearing loss detection by Jingyuan Yang, Yu‐Dong Zhang

“…The simulation results show that the best performance in sensitivity and overall accuracy of hearing loss classification, which proves that the method is effective and promising for SNHL detection.…”
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Classification and Recognition of Soybean Quality Based on Hyperspectral Imaging and Random Forest Methods by Man Chen, Zhichang Chang, Chengqian Jin, Gong Cheng, Shiguo Wang, Youliang Ni

“…The model parameters were optimized using particle swarm optimization (PSO) and differential evolution (DE) algorithms to improve performance. …”
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