Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

“…Security risks in modern multi-cloud environments include data compromise, unauthorized pain points, and increased data leakage risk. …”
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Few-Shot Data Augmentation by Morphology-Constrained Latent Diffusion for Enhanced Nematode Recognition by Xiong Ouyang, Jiayan Zhuang, Jianfeng Gu, Sichao Ye

“…This framework is designed to augment nematode image datasets and improve classification performance under limited data conditions. The framework consists of three key components: First, we incorporate a fine-tuning strategy that preserves the generalization capability of model in few-shot settings. …”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

“…To address this, our research introduces the synthetic data generation for “enhanced shrimp detection using integrated augmentation (ESDIA)” approach to detect shrimps. …”
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Deep Learning for Glioblastoma Multiforme Detection from MRI: A Statistical Analysis for Demographic Bias by Kebin Contreras, Julio Gutierrez-Rengifo, Oscar Casanova-Carvajal, Angel Luis Alvarez, Patricia E. Vélez-Varela, Ana Lorena Urbano-Bojorge

“…The model was trained on the RSNA-MICCAI data set and externally validated on the Erasmus Glioma Database (EGD), which includes gliomas of various grades and preserves cranial structures, unlike the skull-stripped RSNA-MICCAI images. …”
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Spatiotemporal Change Detection of Ecological Quality and the Associated Influencing Factors in Yuzhou Mining Area With RSEIFE by Jiao Pan, Ziwei Wang, Tao Chen, Kun Jia, Antonio Plaza

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Adulteration Detection and Origin Identification of Yak Milk Powder Based on Near-infrared Spectroscopy Technology by Haiyang PENG, Zhongdong WU, Tao LIN, Hongcheng LIU, Ying GU

“…Traditional DNA detection methods and isotope analysis showed long detection time, which were inapplicable to rapid, low-cost on-site analysis. …”
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Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…In the study, algorithms were tested using computers, and different scenic spots were set up to validate tourists. Three scenic spot scenes with different time and environmental conditions were set up to detect tourist ABD, and the results were compared with different existing anomaly detection algorithms. …”
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing by Krzysztof Pastuszak, Michał Sieczczyński, Marta Dzięgielewska, Rafał Wolniak, Agata Drewnowska, Marcel Korpal, Laura Zembrzuska, Anna Supernat, Anna J. Żaczek

“…Our best models achieved about 95% balanced accuracy on the CTC test set on per cell basis, correctly detecting 133 out of 138 CTCs and CTC-PBMC clusters. …”
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Ensemble of hybrid model based technique for early detecting of depression based on SVM and neural networks by Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, Sultan Alfarhood, M. F. Mridha, Dunren Che

“…After the classifiers are trained and tested at level 0, their outputs are based on both the independent and dependent variables in the new data set that was used to train the meta-classifier. …”
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Echoes From the Void: Detecting DNS Tunneling With Blackhole Features in Encrypted Scenarios With High Accuracy by Wafa S. Alorainy

“…Experiments were conducted using the GraphTunnel data set (2,975,353 records) and the CIC-Bell-DNS-EXF-2021 (1,019,318 records). …”
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The course of ankylosing spondylitis during pregnancy: intermediate data of a prospective follow-up by O. A. Krichevskaya, Z. M. Gandaloeva, A. B. Demina, T. V. Dubinina

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Repetitive Sampling Control Chart for Gamma Distribution in Uncertain Environments by Zainalabideen Al-Husseini, Khudhayr A. Rashedi, Muhammad Aslam

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SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture by S.A. Imashev, A.V. Aladev

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Utilization of Stockwell Transform and Random Forest Algorithm for Efficient Detection and Classification of Power Quality Disturbances by T. Ravi, K. Sathish Kumar, C. Dhanamjayulu, Baseem Khan

“…The classifier employs bootstrapping sampling to generate multiple training sets from the original dataset. Each training set is used to construct a decision tree by recursively partitioning the data based on significant features. …”
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Evaluating CNN Architectures for the Automated Detection and Grading of Modic Changes in MRI: A Comparative Study by Li‐peng Xing, Gang Liu, Hao‐chen Zhang, Lei Wang, Shan Zhu, Man Du La Hua Bao, Yan‐ni Wang, Chao Chen, Zhi Wang, Xin‐yu Liu, Shuai Zhang, Qiang Yang

“…It also tested generalizability and compared it with the junior doctor's performance on the second data set (Dataset 2). Post hoc, the junior doctor graded Dataset 2 with CNN assistance. …”
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A traffic sign detection model based on coordinate attention - bidirectional feature pyramid network by LANG Binke, LÜ Bin, WU Jianqing, WU Ruinian

“…We conducted experiments using the traffic sign data set TT100K as the test object to compare the detection accuracy of the CA-BIFPN model with that of the single shot multibox detector (SSD) and YOLOv5 model. …”
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Singular Value Decomposition Based Features for Automatic Tumor Detection in Wireless Capsule Endoscopy Images by Vahid Faghih Dinevari, Ghader Karimian Khosroshahi, Mina Zolfy Lighvan

“…In order to classify the WCE images, the support vector machine (SVM) method is applied to a data set which includes 400 normal and 400 tumor WCE images. …”
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LMGD: Log-Metric Combined Microservice Anomaly Detection Through Graph-Based Deep Learning by Xu Liu, Yuewen Liu, Miaomiao Wei, Peng Xu

“…Therefore, there is an urgent need for fast and accurate anomaly detection capabilities. However, the existing microservice anomaly detection methods do not pay attention to the multi-source data of the microservice system and thus have low accuracy. …”
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Two-Stage Efficient Parking Space Detection Method Based on Deep Learning and Computer Vision by Junzhe Jiang, Rongnian Tang, Weian Kang, Zengcai Xu, Cheng Qian

“…The method in this paper achieved a detection accuracy of 98.24% on the public data set ps2.0 (Parking-slot 2.0), and the parking space inference time on a single image was only 12.3 ms. …”
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A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

“…These images are processed in parallel by the MINN algorithm, allowing it to learn a comprehensive and precise representation of the underlying biological mechanisms. (3) Results: Our method, on an experimentally validated test set, detects target sites with an AUPRC of 0.9373, Precision of 0.8725, and Recall of 0.8703 and outperforms several commonly used computational methods of microRNA target-site predictions. (4) Conclusions: Incorporating diverse biologically explainable features, such as duplex structure, substructures, their MFEs, and binding probabilities, enables our model to perform well on experimentally validated test data. …”
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