A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction by Suleiman Daoud, Ahmad Nasayreh, Khalid M.O. Nahar, Wlla k. Abedalaziz, Salem M. Alayasreh, Hasan Gharaibeh, Ayah Bashkami, Amer Jaradat, Sultan Jarrar, Hammam Al-Hawamdeh, Absalom E. Ezugwu, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Laith Abualigah

“…We demonstrate the overall effectiveness of the proposed model by using it to select the optimal features extracted from the Resnet50V2 model for pediatric brain tumor detection. …”
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Development of Fast Analytical Method for the Detection and Quantification of Honey Adulteration Using Vibrational Spectroscopy and Chemometrics Tools by Omar Elhamdaoui, Aimen El Orche, Amine Cheikh, Brahim Mojemmi, Rachid Nejjari, Mustapha Bouatia

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Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data by Afidatul Masbakhah, Umu Sa'adah, Mohamad Muslikh

“…Therefore, the hybrid RF-FOX method allows the performance of the model to be more optimized, thus helping in the identification of patients at risk of cervical cancer more precisely.…”
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Establishment and Application of TaqMan qPCR Detection Method for Human DNA Contamination in DNA Laboratory by SHEN Gao-fang, ZHOU Yong-song, ZHANG Jian-qiu, JI Shi-you, WU Ying-feng, SHANG Hao, ZHU Bo-feng

“…ObjectiveTo establish a highly sensitive and specific method for detecting human DNA based on real time quantitative PCR （qPCR） technique for the rapid detection of potential DNA contamination sources in DNA laboratories.MethodsPrimers and probes were designed with Primer ExpressTM software using the reference sequence of human 18S rRNA gene as a template, and the optimal prime-probe combination was screened by matrix method. …”
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Surface-Enhanced Raman Spectroscopy (SERS) Method for Rapid Detection of Neomycin and Chloramphenicol Residues in Chicken Meat by Yan Wu, Junshi Huang, Ni Tong, Qi Chen, Fang Peng, Muhua Liu, Jinhui Zhao, Shuanggen Huang

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Three-dimensional omnidirectional characterization methods of rock anisotropic wave velocity and acoustic emission location optimization by Shengjun MIAO, Wenxuan YU, Mingchun LIANG, Pengjin YANG, Conghao LI, Zejing LIU

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Sensor Fault Detection and Diagnosis of Air-conditioning System Based on Improved Principal Component Analysis Method by Zhang Shuangshuang, Chen Huanxin, Zhang Hongtao, Guo Yabin

“…In this study, an improved principal component analysis method combining wavelet transform data optimization and neural network-based fault diagnosis optimization is proposed for the sensor fault detection and diagnosis in an air-conditioning system. …”
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A Simulation Analysis of an Extension of One-Dimensional Speckle Correlation Method for Detection of General In-Plane Translation by Ivana Hamarová, Petr Šmíd, Pavel Horváth, Miroslav Hrabovský

“…The translation components ax and ay representing the projections of a vector a of the object's displacement onto both x- and y-axes in the object plane (x,y) are evaluated separately by means of the extended one-dimensional speckle correlation method. Moreover, one can perform a distinct optimization of the method by reduction of intensity values representing detected speckle patterns. …”
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Developing an Automatic Asbestos Detection Method Based on a Convolutional Neural Network and Support Vector Machine by Tomohito Matsuo, Mitsuteru Takimoto, Suzuyo Tanaka, Ayami Futamura, Hikari Shimadera, Akira Kondo

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Optimization of searching for moving targets of a multifunctional radar station by С.М. Піскунов, Д.С. Роменський, В.Ю. Бабич

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SynKGen: A kernel PCA-Based oversampling method for enhanced credit card fraud detection by Fray L. Becerra-Suarez, Luciani J. Jiménez-Fernández, Estrella D. Ticona-Tapia, José Rolando Cárdenas-Gonzáles, Pepe Humberto Bustamante-Quintana

“…Experimental results demonstrate that SynKGen improves the effectiveness of credit card bank fraud detection. These findings highlight the importance of data augmentation strategies to optimize classifier performance in financial contexts with unbalanced data. …”
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A Method Combining Order Tracking and Fuzzy C-Means for Diesel Engine Fault Detection and Isolation by Ruili Zeng, Lingling Zhang, Yunkui Xiao, Jianmin Mei, Bin Zhou, Huimin Zhao, Jide Jia

“…After standardizing these features, the fuzzy c-means (FCM) is introduced to use them as input vector; the optimized classified matrix and clustering centers can be obtained using FCM iteration method; then the fault can be detected by calculating the approach degree between the unknown samples and the known ones. …”
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A Defect Detection Method for Flexible Thermal Control Film Manufacturing Process Driven by Digital Twin by LI Rongyi, TIAN Shuaiqi, DAI Mingqiu, XU Youqiang, LI Xianbin, HOU Kailin

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A Blur-Score-Guided Region Selection Method for Airborne Aircraft Detection in Remote Sensing Images by Yujian Wang, Yi Hou, Yuting Xie, Ruofan Wang, Shilin Zhou

“…Airborne aircraft detection is of paramount importance for optimizing airspace management and enhancing flight safety and efficiency in both commercial and private sectors. …”
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Collaborative Optimization of Equipment Reliability and Testability Considering BIT Characteristics by HUANG Darong, GAO Ming, ZHAO Ning, ZHANG Yu

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A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection by Thanh-Dung Le, Clara Macabiau, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…Recent research has revealed that traditional machine learning methods, such as semi-supervised label propagation and K-nearest neighbors, outperform Transformer-based models in artifact detection from photoplethysmogram (PPG) signals, mainly when data is limited. …”
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Improved Building Information Modeling Based Method for Prioritizing Clash Detection in the Building Construction Design Phase by Iman Bitaraf, Ali Salimpour, Pedram Elmi, Ali Akbar Shirzadi Javid

“…Clashes were ranked by criticality through a calculation involving the six parameters, which enhanced the efficiency of clash detection by optimizing time and cost considerations during the design phase. …”
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Development of a LAMP method for detection of carbapenem-resistant Acinetobacter baumannii during a hospital outbreak by Carolina Garciglia Mercado, Ramon Gaxiola Robles, Felipe Ascencio, Jesus Silva-Sanchez, Maria Teresa Estrada-Garcia, Gracia Gomez-Anduro

“…Methodology: A set of six primers were designed for recognizing eight distinct sequences on six targets: blaOXA-23-like, blaOXA-24-like, blaOXA-51-like, blaOXA-58-like, blaIMP, and blaVIM. A LAMP method was developed, optimized and evaluated for the identification of CRAB in thirty-three environmental samples from an outbreak in an Intensive Care Unit (ICU) facility. …”
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Research on detection and location method of safflower filament picking points during the blooming period in unstructured environments by Bangbang Chen, Feng Ding, Baojian Ma, Qijun Yao, Shanping Ning

“…Abstract To address the challenges encountered by safflower filament harvesting robots in detecting and localizing harvesting points in unstructured environments, this study proposes a harvesting point detection and localization model based on the DSOE (Detect-Segment-OpenCV Extraction) method, integrated with a localization system using a depth camera. …”
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DAM-Faster RCNN: few-shot defect detection method for wood based on dual attention mechanism by Xingyu Tong, Zhihong Liang, Mingming Qin, Fangrong Liu, Jiayu Yang, Hengjiang Xiao, Wei Dai

“…After synergistic optimization of all modules, the model demonstrates superior detection accuracy and category discrimination capability. …”
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