MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…In this article, we propose a novel YOLO model with multi-scale, effective, and lightweight methods for traffic small object detection, termed MEL-YOLO. Initially, the improved model reconstructed the multi-scale network structure, the high-resolution feature enhancement network increases size from <inline-formula> <tex-math notation="LaTeX">$40\times 40$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$160\times 160$ </tex-math></inline-formula>. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…This study proposes a Self-Attention Mechanism-Driven Federated Learning for Secure Cyberattack Detection with Crocodile Optimization Algorithm (SAMFL-SCDCOA) methodology. …”
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Research note: Establishment of a multiplex PCR detection system for different infectious bronchitis virus strain genotypes in laying hens by Changjing Zhao, Cheng Yuan, Qingsen Zhao, Aihong Xia, Yaqing Dong, Shuying Xu, Shihan Chen, Yue Yuan, Yongjuan Wang

“…After repeated improvement, a multiple PCR detection approach with strong specificity for the simultaneous detection of IBV Mass, QX, G Ⅵ-1, 4/91, and LDT3 strains was initially established. …”
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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…In this paper, a novel and robust deep spatio-textural acoustic feature ensemble-assisted learning environment is proposed for violence detection in surveillance videos (DestaVNet). As the name indicates, the proposed DestaVNet model exploits visual and acoustic features to perform violence detection. …”
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Barriers and contributions of rural community health workers in enabling cancer early detection and subsequent care in India: a qualitative study by Sathishrajaa Palaniraja, Katayoun Taghavi, Ishu Kataria, Kunal Oswal, Nandimandalam Venkata Vani, Asiya Ansari Liji, Hardika Parekh, Rita Isaac, Moni Kuriakose, Rajaraman Swaminathan, Rohit Rebello, Arnie Purushotham, Partha Basu, Richard Sullivan, Arunah Chandran

“…This study explores the barriers and contributions of CHWs while facilitating early detection and subsequent care in selected rural areas of India. …”
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Detecting Deception and Ensuring Data Integrity in a Nationwide mHealth Randomized Controlled Trial: Factorial Design Survey Study by Krista M Kezbers, Michael C Robertson, Emily T Hébert, Audrey Montgomery, Michael S Businelle

“…ResultsFacebook advertisements resulted in 5236 initiations of the REDCap prescreener. A digital deception detection procedure was implemented for those who were deemed pre-eligible (n=1928). …”
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Establishment and optimization of a system for the detection of Candida albicans based on enzymatic recombinase amplification and CRISPR/Cas12a system by Xiaotong Zeng, Qiuyang Jiang, Fo Yang, Qianlin Wu, Tingyao lyu, Qi Zhang, Jin Wang, Feng Li, Dayong Xu

“…The temperature-controlled system employs a combination of liquid and solid paraffin wax to maintain the desired melting point, thus facilitating spatial separation of the ERA amplification system from the CRISPR/Cas12a detection system within a single tube. After a reaction at 37°C, the temperature is raised to 45°C, melting the wax and allowing the amplification system to merge with the detection system, initiating the reaction. …”
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Time Intervals in the Pathway to Diagnosis of Patients with Cancer by Joseba Rabanales-Sotos, Ángel López-González, Blanca Sánchez-Galindo, Gema Blázquez-Abellán, Juan Manuel Téllez-Lapeira, Jesús López-Torres-Hidalgo

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A Candidate Giant Planet Companion to the Massive, Young White Dwarf GALEX J071816.4+373139 Informs the Occurrence of Giant Planets Orbiting B Stars by Sihao Cheng, Kevin C. Schlaufman, Ilaria Caiazzo

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Experimental Study of Silent Sonar by Jacek MARSZAL

“…The results of the theoretical analysis and computer simulation suggested that target detection and positioning accuracy deteriorate as the speed of the target increases, a consequence of the Doppler effect. …”
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A fatigue-reliability approach using ultrasonic non-destructive inspection by Chouikh, Iheb, Bouraoui, Chokri

“…To analyse the performance and efficacity of the model, the probability of detection is determined using the “signal response” technique.The Paris model is used to predict the fatigue life taking into consideration the initial crack distributions, the dispersion of the parameters underlined by the Least-squares method and Monte-Carlo simulations.Reliability evaluation is discussed later for two cases: Detection and No-detection case.If no indication is presented, an inspection detection threshold is determined and optimized. …”
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Spatiotemporal Fusion of Multi-Temporal MODIS and Landsat-8/9 Imagery for Enhanced Daily 30 m NDVI Reconstruction: A Case Study of the Shiyang River Basin Cropland (2022) by Peiwen Mu, Fei Tian

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Determination of 53 volatile flavor components in strong-flavor Baijiu by gas chromatography by XU Jia, LIAO Li, ZOU Yongfang, GAN Qiao, JING Xiong, PENG Houbo, QIAN Yu

“…In order to establish an efficient and accurate method for detecting various trace components in strong-flavor (Nongxiangxing) Baijiu, a gas chromatography (GC) method for the detection of 53 volatile flavor components in strong-flavor Baijiu was established by optimizing the column types, split ratio and programmed temperature conditions. …”
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Yeast-Based Direct Catalytic Ethanol Fuel Cell Biosensors: A Batch Analysis Apparatus Combined with Chemometrics for Qualitative Carbohydrate Detection by Mauro Tomassetti, Federico Marini, Corrado Di Natale, Mauro Castrucci, Luigi Campanella

“…Initially, the entire set of data points from the response curves was analyzed using principal component analysis (PCA). …”
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A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects by Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang

“…Abstract Environmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection. The Gaussian mixture model (GMM) based method is an effective solution, but challenges such as selecting initial model parameters and determining the optimal number of Gaussian components can hinder its performance. …”
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Image Segmentation Based on the Optimized K-Means Algorithm with the Improved Hybrid Grey Wolf Optimization: Application in Ore Particle Size Detection by Xinyi Chai, Zijun Wu, Wei Li, Haowei Fan, Xinyang Sun, Jing Xu

“…<b><b>:</b></b> Image segmentation is an important part of ore particle size detection, and the quality of image segmentation directly affects the accuracy and reliability of particle size detection. …”
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A Damage Detection Approach in the Era of Industry 4.0 Using the Relationship between Circular Economy, Data Mining, and Artificial Intelligence by Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Khaled Ghaedi, Zubaidah Ismail

“…Likewise, an artificial neural network (ANN) integrated with a genetic algorithm (GA) was also developed for detecting the damage. GA was applied to define the initial weights of the neural network. …”
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Comprehensive study of characteristic signs of defects detected during magnetic powder control at the final stage of production of seamless hot‑rolled pipes by E. A. Naumenko, O. V. Rozhkova, I. A. Kovaleva

“…Timely detection of defects and elimination of the causes of their formation, allows you to get high‑quality products with high operational reliability. …”
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GreyWolfLSM: an accurate oil spill detection method based on level set method from synthetic aperture radar imagery by Nastaran Aghaei, Gholamreza Akbarizadeh, Abdolnabi Kosarian

“…Oil spill detection (OSD) in marine areas is an application of synthetic aperture radar (SAR) images to protect aquatic life. …”
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PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…The findings declare that this model achieves a noteworthy accuracy of 99.00% for the Parkinson’s disease detection process.…”
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