PortNet: Achieving lightweight architecture and high accuracy in lung cancer cell classification by Kaikai Zhao, Youjiao Si, Liangchao Sun, Xiangjiao Meng

“…In external tests, PortNet achieved an average accuracy (ACC) of 99.89 % and Area Under the Curve (AUC) of 99.27 %. …”
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Electrochemically-driven solid oxide tubular membrane reactor for efficient separation of oxygen and argon by Yuanhui Tang, Yutao Hu, Sisi Wen, Song Lei, Yakai Lin, Li Ding, Haihui Wang

“…The resulting membrane reactor was compact, defect-free, and capable of producing Ar with a purity of 99.99 %. Additionally, under a constant total current of 0.75 A and an operating temperature of 800 °C, the membrane reactor demonstrated stable performance for over 130 hours, maintaining a Faradaic efficiency exceeding 95 %. …”
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…The best performance in the ensembles was done by the AD-22 + Transformer + SVM model, with an AUC of 0.99, a training accuracy of 99.50%, and a testing accuracy of 99.00%. …”
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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

“…The model achieved a training accuracy of 99.57% and a validation accuracy of 99.93%. Using 5-fold cross-validation, it recorded a test accuracy of 99.90% in the fifth fold. …”
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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…With the analysis of all these models, the Inception V3 provides the best of all with the accuracy value of 99.98%. The InceptionV3 tops the Precision value of 99.99% and RESNET-50 tops the Recall value of 99.98%. …”
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Pemeringkatan Pencarian pada Buku Pedoman Akademik Filkom UB Menuju Merdeka Belajar dan Free E-Book Pembelajaran Sebagai Prototype Local Smart Micro Search Engine Menggunakan Algor... by Imam Cholissodin, Akhmad Sa’rony, Rona Salsabila, Ilham Firmansyah, Guedho Augnifico Mahardika, Andreas Pardede, Zaien Bin Umar Alaydrus

“…This algorithm has been proven to be able to provide feedback on relevant documents through two stages of testing. he evaluation conducted on the two tests resulted in the highest average recall value of 80.6% on the 1st dataset, and 2nd dataset the best correlation was obtained between precision, recall and f-measure of 0.98, 0.99, 0.99. …”
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New sources of higher green matter quality for perennial grasses in the southern forest-steppe environments of West Siberia by O. A. Yusova

“…During the period from 2011 through 2016, the best examples in yield and in a set of green matter quality characteristics were selected: the intensive-type alfalfa lines SP-2-99/91-267 and SP-2-99/01-282, extensive-type alfalfa line SP-2-99/01-132, and the line of bromegrass SP-2-06/08-28, which was intensive-type in protein content and feed value units, and extensive-type in cellulose fiber content and green matter yield.…”
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Application of Path Analysis in identification of dominant effective meteorological parameters on ET0 in West Azarbaijan by Yagob Dinpashoh, Masoumeh Foroughi

“…In the studied synoptic stations, NSH between 0.91 and 0.99,   R2 between 0.91 and 0.99, RMSE between 0.05 and 0.15, and MEA between 0.04 and 0.12 were obtained. …”
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Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach by Siti Aminah, Gianinna Ardaneswari, Mufarrido Husnah, Ghani Deori, Handi Bagus Prasetyo

“…The SVM-RFE+KNN model exhibited exceptional performance, achieving a classification accuracy of 99.30%, specificity of 99.52%, and sensitivity of 99.55%. …”
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酒泉市狐狸消化道蛔虫分子鉴定及cox1基因序列分析 by 张建明

“…形态学鉴定结果表明6条蛔虫与弓首蛔虫形态学特征基本一致；测序结果显示，6个虫株cox1基因序列大小为418 bp，其序列同源性为994%—1000%，与GenBank收录的狮弓蛔虫分离株同源性最高，为994%—997%；NJ系统进化分析结果显示6个分离株与狮弓蛔虫属于同一分支，其亲缘性较其他蛔虫种属相对最近。…”
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Molecular Characterization of Wild and Cultivated Strawberry (Fragaria × ananassa) through DNA Barcode Markers by Awais Qarni, Khushi Muhammad, Abdul Wahab, Amir Ali, Chandni Khizar, Izhar Ullah, Abeer Kazmi, Tahira Sultana, Asma Hameed, Muhammad Younas, Mehdi Rahimi

“…ITS2 sequence was BLAST in NCBI for related reference species which ranged from 89.79% to 90.05% along with Fragaria vesca (AF163517.1) which have 99.05% identity. Similarly, the rbclC sequence of Fragaria species was ranged from 96% to 99.58% along with Fragaria × ananassa (KY358226.1) which had 99.58% identity. …”
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Evaluation of Fall Risk in Hemodialysis Patients within the Scope of Quality Improvements: A Comparison of Two Assessment Scales by Özden Güdük

“…According to the cut-of score, the sensitivity and specifiity of the Itaki Fall Risk Scale were 97% and 99.6%, and the Dialysis Fall Risk Index was 93.9% and 99.6%. …”
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Recognition of spatial distribution of convergence fluctuation of VIMFC vertical cumulative moisture on Iran’s atmosphere during 1979-2013 by Farshad Pazhoh, mehry akbary, Mohammad Darand

“…In order to achieve VIMFC spatial variations on Iran, spatial self-correlation methods   of globular moron and hot spots used at 90, 95, 99 and 99/99 percent significance levels. The results of this study showed that the spatial distribution of VIMFC in Iran during the first layer of troposphere and especially during warm months of year has a high cluster pattern and in cold months of the year and in the third layer of troposphere cluster pattern decrease. …”
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Potential Sustainability of Integrated Household Constructed Wetlands (IHCWS) implementation in small island as an effort to mitigate marine pollution due to greywater domestic was... by Maliga Iga, Purwono Suryo, Endang Sutariningsih Agnes, Harini Rika

“…The results showed that the potential application of IHCWS on Bungin Island in each aspect, ecology (88.68%), socio-culture (79.13%), economy (99.66%), technology (99.71%), policy (99.71%), and public health (88.68%). …”
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Attention-Based Hybrid Deep Learning Models for Classifying COVID-19 Genome Sequences by A. M. Mutawa

“…<b>Results</b>: The results indicate that the Convolutional neural network (CNN) with Bidirectional long short-term memory (BLSTM) with attention layer (CNN-BLSTM-Att) achieved an accuracy of 99.99%, which outperformed the other models. For external validation, the model shows an accuracy of 99.88%. …”
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Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in emer... by Hanieh Alimiri Dehbaghi, Karim Khoshgard, Hamid Sharini, Samira Jafari Khairabadi

“…The LGBM model achieved 100% sensitivity and 99.00% accuracy in diagnosing severe liver injury. …”
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Research on Detecting AI-Generated Forged Handwritten Signatures via Data-Efficient Image Transformers by Yanli Hao, Zuyang Zheng

“…The DeiT model demonstrated superior performance with AUC values of 100% for the Huawei and Baidu datasets, 99.99% for the combined Huawei and Baidu datasets, 100% for the AI &#x0026; Handwriting dataset, and 99.72% for the Shouji dataset. …”
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Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

“…In binary classification, KNN attains the highest accuracy of 99.85%, closely followed by RF at 99.72%. This methodology provides significant advancements in fault detection capabilities, offering valuable insights for improving grid reliability and stability, and ensuring a more resilient power supply.…”
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Screening of Genes Related to Resistance to Bacterial Leaf Blight in Oryza officinalis by using RNA-seq Technology by Yayun YANG, Feifei ZHANG, Famei ZHANG, Xinxiang A, Chao DONG, Cuifeng TANG, Chunyun YANG, Luyuan DAI

“…Among them, it was found that 5 accessions of O.officinalis were susceptible to CX28-3 isolate, with a disease infection rate of 13.15%, and 42.10% to PXO99 strain, indicating that PXO99 had strong pathogenicity. …”
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Immunotherapeutic Strategies for Alzheimer's Disease Treatment by Beka Solomon

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