Eternal-MAML: a meta-learning framework for cross-domain defect recognition by Jipeng Feng, Haigang Zhang, Zhifeng Wang

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Cucumber Leaf Segmentation Based on Bilayer Convolutional Network by Tingting Qian, Yangxin Liu, Shenglian Lu, Linyi Li, Xiuguo Zheng, Qingqing Ju, Yiyang Li, Chun Xie, Guo Li

“…The major contributions of this study are as follows: (1) Utilized Fully Convolutional Object Detection (FCOS) for plant leaf detection, incorporating ResNet-50 with the Convolutional Block Attention Module (CBAM) and Feature Pyramid Network (FPN) to enhance Region of Interest (RoI) feature extraction from canopy top-view images. (2) Extracted the sub-region of the RoI based on the position of the detection box, using this region as input for the BCNet, ensuring precise segmentation. (3) Utilized instance segmentation of canopy top-view images using BCNet, improving segmentation accuracy. (4) Applied the Varifocal Loss Function to improve the classification loss function in FCOS, leading to better performance metrics. …”
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Spatial variation in time to diagnosis of visceral leishmaniasis in Bihar, India by Emily S. Nightingale, Joy Bindroo, Pushkar Dubey, Khushbu Priyamvada, Aritra Das, Caryn Bern, Sridhar Srikantiah, Ashok Kumar, Mary M. Cameron, Tim C. D. Lucas, Sadhana Sharma, Graham F. Medley, Oliver J. Brady

“…After accounting for differences associated with age, HIV status and mode of detection (active versus passive surveillance), cases diagnosed within recently affected (≥ 1 case reported in the previous year) blocks and villages experienced shorter delays on average (by 13% [2.9–21.7%] (95% credible interval) and 7% [1.3–13.1%], respectively) than those in non-recently-affected areas. …”
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Rhythm and Conduction Disorders in Patients Receiving Ibrutinib by EI Emelina, GE Gendlin, IG Nikitin, EA Dmitrieva, EA Nikitin, VV Ptushkin

“…Severe atrioventricular block was diagnosed in 2 (1 %) patients that necessitated a pacemaker. …”
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Remapping the spatial distribution of neutralizing sites and their immunodominance on the capsid of different topotypes of FMDV serotype O by site-directed competitive ELISA for de... by Qiongqiong Zhao, Fengjuan Li, Shulun Huang, Xiangchuan Xing, Ying Sun, Pinghua Li, Huifang Bao, Yuanfang Fu, Pu Sun, Xingwen Bai, Hong Yuan, Xueqing Ma, Zhixun Zhao, Jing Zhang, Jian Wang, Tao Wang, Dong Li, Qiang Zhang, Ping Qian, Yimei Cao, Kun Li, Xiangmin Li, Zengjun Lu

“…Additionally, liquid-phase blocking ELISA (LPBE) and virus neutralization test (VNT) were employed to measure total antibody and NAb titers. …”
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StApneaNet: A Deep Learning-Based Automatic Sleep Stage Adaptive Apnea Detection Network Using Single Channel EEG Signal by Suvasish Saha, Shaikh Anowarul Fattah, Mohammad Saquib

“…A residual squeeze and excitation based channel attention mechanism is then applied to the output feature channels which are further processed through a bi-directional long short term memory (Bi-LSTM) layer along with a temporal attention block. Both apnea prediction and sleep stage prediction are jointly optimized in the joint model that is initially pre-trained and later integrated as a non-trainable block with the trainable decision fusion block inside the decision model for the final apnea event detection. …”
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A Novel TLS-Based Fingerprinting Approach That Combines Feature Expansion and Similarity Mapping by Amanda Thomson, Leandros Maglaras, Naghmeh Moradpoor

“…They can be hosted on various technologies and serve an array of content, including malware, command and control and complex phishing sites that are designed to deceive and expose. Tracking, blocking and detecting such domains is complex, and very often it involves complex allowlist or denylist management or SIEM integration with open-source TLS fingerprinting techniques. …”
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A two-stage model for enhanced mango leaf disease detection using an innovative handcrafted spatial feature extraction method and knowledge distillation process by Mohammad Manzurul Islam, Mst. Nasrat Jahan Niva, Abdullahi Chowdhury, Saleh Masum, Rifat Ara Shams, Taskeed Jabid, Md. Sawkat Ali, Md. Mostofa Kamal Rasel, Muhammad Firoz Mridha

“…To address this, our study proposes a two-stage model for improved disease detection in mango leaves. In the first stage, we implement an innovative, block-based feature extraction technique using Local Directional Patterns (LDP) and Local Directional Pattern variance (LDPv) on a comprehensive dataset, MangoLeafBD, consisting of 4000 images, achieving satisfactory results in terms of detection accuracy, sensitivity, specificity, and false negative rate. …”
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Multi-scale target intelligent detection method for coal, foreign object and early damage of conveyor belt surface under low illumination and dust fog by Hongwei FAN, Jinpeng LIU, Xiangang CAO, Chao ZHANG, Xuhui ZHANG, Man LI, Hongwei MA, Qinghua MAO

“…Then, by adding a shallow detection layer to highlight the detailed information such as the position and shape of the small target of the early belt surface damage, the performance of the early belt surface damage detection is improved, in the meantime some detection layers and corresponding feature extraction modules are removed to reduce the model without affecting the detection accuracy. …”
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Global detection and management of dysglycaemic patients with coronary artery disease results from the INTERASPIRE survey from 14 countries across six WHO regions by Safi Moayad Al-Azzawy, John William McEvoy, Isabelle Johansson, Agnieszka Adamska, Guy De Backer, Iris Erlund, Sandra Ganly, Catriona Jennings, Kornelia Kotseva, Gregory Y. H. Lip, Linda Mellbin, Kausik K. Ray, Terhi Vihervaara, David Wood, Ana Abreu, Wael Almahmeed, Ade Meidian Ambari, Junbo Ge, Hosam Hasan-Ali, Yong Huo, Piotr Jankowski, Rodney M. Jimenez, Yong Li, Syadi Mahmood Zuhdi, Abel Makubi, Amam Chinyere Mbakwem, Lilian Mbau, Jose Luis Navarro Estrada, Okechukwu Samuel Ogah, Elijah Nyainda Ogola, Adalberto Quintero–Baiz, Mahmoud Umar Sani, Maria Ines Sosa Liprandi, Jack Wei Chieh Tan, Miguel Alberto Urina Triana, Tee Joo Yeo, Dirk De Bacquer, Lars Rydén

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Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…Object detection in images is a fundamental component of many safety-critical systems, such as autonomous driving, video surveillance systems, and robotics. …”
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Silver-Based Plasmonic Grating with PDMS Microchannel for Biological Sensors by Pongsak Sarapukdee, Dirk Schulz, Stefan Palzer

“…This contribution explores the potential of silver-based plasmonic gratings as central building blocks for developing biological sensors using label-free detection techniques. …”
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Microarray construction of antimicrobial resistance genes from Salmonella by MA Meng-gen, WANG Hong-ning, YU Yong, ZHANG Dong, LIU Shi-gui

“…A glass-based microarray was developed to detect 11 antimicrobial resistance genes that confer resistance to aminoglycosides, tetracyclines, sulfonamides, and chloramphenicols. …”
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Malaria Disease Prediction Based on Convolutional Neural Networks by Dhrgam AL Kafaf, Noor N. Thamir, Samara S. AL-Hadithy

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SDN self-protection system based on Renyi entropy by Pu ZHAO, Wentao ZHAO, Zhangjie FU, Qiang LIU

“…Aiming at the abnormal behaviors in SDN architecture, a self-protection system based on Renyi entropy that implemented a set of detection, diagnosis and defense method of SDN abnormal behaviors was proposed.The system did not need to introduce the third-party measurement equipment, and directly used the flow table information of OpenFlow switches.Firstly, the abnormal network behavior was detected by calculating the characteristic entropy.Then, the information of the OpenFlow flow table was further analyzed to realize the diagnosis of abnormal behavior.Finally, a blacklist mechanism was established.And the system added the hosts with abnormal behavior to the blacklist and blocked the corresponding abnormal traffic.In order to verify the effectiveness of the system, a prototype was developed on the Floodlight controller.The simulation results on Mininet show that the system can effectively detect, diagnose and defend the abnormal behaviors.The system has low deployment cost, which enhances the security of SDN.…”
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An airport apron ground service surveillance algorithm based on improved YOLO network by Yaxi Xu, Yi Liu, Ke Shi, Xin Wang, Yi Li, Jizong Chen

“…This research shows an activity identification algorithm for ground service objects in an airport apron area and proposes an improved YOLOv5 algorithm to increase the precision of small object detection by introducing an SPD-Conv (spath-to-depth-Conv) block in YOLOv5's backbone layer. …”
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Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules by Zhi Li, Wenjing Zhang, Jinyi Huang, Ling Lu, Dongming Xie, Jinrong Zhang, Jiamin Liang, Yuepeng Sui, Linyuan Liu, Jianjun Zou, Ao Lin, Lei Yang, Fuman Qiu, Zhaoting Hu, Mei Wu, Yibin Deng, Xin Zhang, Jiachun Lu

“…The model is internally validated with 10-fold cross validation and compared with PKUPH and Block models. Results We collated information from chest CT examinations performed from 2018 to 2021 in the physical examination population and found that the detection rate of PNs was 21.57% and showed an overall upward trend. …”
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Efficient Side-Tuning for Remote Sensing: A Low-Memory Fine-Tuning Framework by Haichen Yu, Wenxin Yin, Hanbo Bi, Chongyang Li, Yingchao Feng, Wenhui Diao, Xian Sun

“…EST attaches a parallel network to the backbone of the model, and only fine-tunes the parameters of the parallel network during the training phase. The proposed EST Block is the main component of the parallel network, which uses the multichannel adapter fusion module, gate layer and depthwise convolution to achieve feature selection and enhancement effects. …”
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Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data by Mohammad Rezaeimanesh, Amir Golroo, Mohammad Sadegh Fahmani, Mohammad Javad Amani, Farid Hasanitabaar, Mohammad Saleh Entezari, Sane Karimi

“…Pavement distress detection plays a crucial role in pavement management and rehabilitation (M&R) by providing essential data for maintenance decision-making. …”
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FECI-RTDETR a Lightweight Unmanned Aerial Vehicle Infrared Small Target Detector Algorithm Based on RT-DETR by Renzheng Xue, Shijie Hua, Haiqiang Xu

“…This paper proposes a lightweight UAV infrared small target detection algorithm, FECI-RTDETR. Initially, we introduce a lightweight RFConv-Block module that enhances spatial feature extraction capabilities while reducing computational redundancy. …”
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