Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…In this study, based on the actual scenario of the Xiqing Tea Garden in Hunan Province, proposes a novel deep learning algorithm was proposed to solve the precise segmentation challenge of famous and high-quality tea picking points.…”
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A CO₂–Δ¹⁴CO₂ inversion setup for estimating European fossil CO₂ emissions by C. Gómez-Ortiz, G. Monteil, G. Monteil, S. Basu, S. Basu, M. Scholze

“…In this paper, we use the Lund University Modular Inversion Algorithm (LUMIA) to estimate fossil <span class="inline-formula">CO₂</span> emissions and natural fluxes by simultaneously inverting in situ synthetic observations of <span class="inline-formula">CO₂</span> and <span class="inline-formula">Δ¹⁴CO₂</span> over Europe. …”
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Time Interval for Diagnosis of Tuberculosis and Related Expenditure in Selected Health Centers in Addis Ababa, Ethiopia by Ezra Shimeles, Melaku Tilahun, Tsegaye Hailu, Fikre Enquselassie, Abraham Aseffa, Alemayehu Mekonnen, Getachew Wondimagegn

“…It is recommended to build capacity of health service providers to update them on programmatic approaches and latest diagnostic algorithm. It is important to strengthen public private partnership for TB services.…”
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Strategi Penanganan Imbalance Class Pada Model Klasifikasi Penerima Kartu Indonesia Pintar Kuliah Berbasis Neural Network Menggunakan Kombinasi SMOTE dan ENN by Zaqiatud Darojah, Ronny Susetyoko, Nana Ramadijanti

“…Firstly, the majority class is clustered into several sub-classes using the k-means algorithm.  The SMOTE and ENN methods are applied simultaneously on a dataset derived from a minority class and a majority sub-class that is the nearest neighbor of the minority class with a certain sampling ratio. …”
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Impact of donor CYP3A5 genotype on pharmacokinetics of tacrolimus in South African paediatric liver transplant patients by C Wheeler, C Masimirembwa, B Mthembu, J Botha, J Scholefield, J Fabian

“…Information from this study may inform the development of an Afrocentric tacrolimus precision-medicine algorithm to optimise recipient safety and graft outcomes. …”
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Predictive value of ENLIGHT-DP in patients with metastatic lung adenocarcinoma treated with immune checkpoint inhibitors and platinum chemotherapy directly from histopathology slid... by Eli Pikarsky, Anna Elia, Gal Dinstag, Omer Tirosh, Tuvik Beker, Ranit Aharonov, Hovav Nechushtan, Leon Gugel, Yaron Kinar, Michael Tabi, Tzivia Gottlieb, Aron Popovtzer, Johnathan Arnon, Yakir Rottenberg, Philip Blumenfeld

“…ENLIGHT-DP predicts response to ICI and targeted therapies given H&amp;E slide scans in two steps: (1) predict individual messenger RNA expression directly from high-resolution H&amp;E scanned slides using DeepPT, a digital-pathology-based algorithm. (2) Use these values as input to ENLIGHT, a transcriptome-based platform that predicts response to ICI and targeted therapies derived from drug-specific networks of gene expressions. …”
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Geometric Feature Characterization of Apple Trees from 3D LiDAR Point Cloud Data by Md Rejaul Karim, Shahriar Ahmed, Md Nasim Reza, Kyu-Ho Lee, Joonjea Sung, Sun-Ok Chung

“…The data processing steps involved data conversion, radius outlier removal, voxel grid downsampling, denoising through filtering and erroneous points, segmentation of the region of interest (ROI), clustering using the density-based spatial clustering (DBSCAN) algorithm, data transformation, and the removal of ground points. …”
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Supporting and hindering environments for participation of adolescents diagnosed with autism spectrum disorder: A scoping review. by Beate Krieger, Barbara Piškur, Christina Schulze, Uta Jakobs, Anna Beurskens, Albine Moser

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Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning modelsMendeley Data by Jia Zhang, Yimin Ding, Lei Zhu, Yukuai Wan, Mingtang Chai, Pengpeng Ding

“…Previous studies have developed many ETo estimation models using deep learning (DL) algorithm, which only require temperature data as input. …”
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Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g... by Reza Tohidi, Hoda Javaheri Bargourooshi, Arash Javanmard

“…To start, we used free computational tools and online bioinformatics resources, including predicting gene function using a multiple association network integration algorithm (geneMania), the Kyoto Encyclopedia of Genes and Genomes, the Annotation, Visualization and Integrated Discovery (DAVID) database and the stimulator of interferon genes. …”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik by Endra Joelianto, Winarendra Satya Rajasa, Agus Samsi

“…The search for optimal parameters in the swarm model controller requires optimization techniques such as the genetic algorithm (GA) to direct the search for solutions that produce the best performance. …”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…This study aims to make sentence corpus containing SARA elements obtained from twitter, then label sentences with labels containing elements of SARA and not, and conduct group sentiments. The algorithm used for the labeling process is k-means, while Support Vector Machine (SVM) is used for the classification process. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…We hypothesize that this better conspicuity leads to high-quality annotation (HAQ), enhancing deep learning (DL) algorithm detection of BMs on MPRAGE images. Methods Retrospective contrast-enhanced (gadobutrol 0.1 mmol/kg) SPACE and MPRAGE data of 157 patients with BM were used, either annotated on MPRAGE resulting in normal annotation quality (NAQ) or on coregistered SPACE resulting in HAQ. …”
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Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…To accelerate the detection process, the PCA algorithm is deployed to reduce the number of significant features of the traffic. …”
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The state of the science of interprofessional collaborative practice: A scoping review of the patient health-related outcomes based literature published between 2010 and 2018. by May Nawal Lutfiyya, Linda Feng Chang, Cynthia McGrath, Clark Dana, Martin S Lipsky

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Optimising Xpert-Ultra and culture testing to reliably measure tuberculosis prevalence in the community: findings from surveys in Zambia and South Africa by Richard Hayes, Sarah Fidler, Sian Floyd, María Rupérez, Helen Ayles, Redwaan Vermaak, Kwame Shanaube, Albertus Schaap, Eveline Klinkenberg, Petra de Haas, Barry Kosloff, Thomas Gachie, Pete J Dodd, Chali Wapamesa, Michael J Burnett, Nico Kalisvaart, Tila Mainga, Linda Mureithi

“…We aimed to design an accurate diagnostic algorithm for TB prevalence surveys (TBPS) that limits the use of culture.Design TBPS in four communities, conducted during 2019.Setting Three Zambian communities and one South-African community included in the TBPS of the Tuberculosis Reduction through Expanded Anti-retroviral Treatment and Screening study.Participants Randomly sampled individuals aged ≥15 years. …”
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Tackling antimicrobial resistance in Bangladesh: A scoping review of policy and practice in human, animal and environment sectors. by Roksana Hoque, Syed Masud Ahmed, Nahitun Naher, Mohammad Aminul Islam, Emily K Rousham, Bushra Zarin Islam, Shaikh Hassan

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Pemodelan Kausal Faktor-Faktor Beban Keluarga dalam Merawat Pasien Kanker Menggunakan Algoritma S3C-Latent by Rizki Surtiyan Surya, Christantie Effendy, Ridho Rahmadi

“…This study uses a causal modeling algorithm called Stable Specification Search for Cross-sectional Data with Latent Variable (S3C-Latent) to obtain a causal model between the relevant caregiver family load factors. …”
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A Phenologically Simplified Two-Stage Clumping Index Product Derived from the 8-Day Global MODIS-CI Product Suite by Ge Gao, Ziti Jiao, Zhilong Li, Chenxia Wang, Jing Guo, Xiaoning Zhang, Anxin Ding, Zheyou Tan, Sizhe Chen, Fangwen Yang, Xin Dong

“…., the typical feature of the bidirectional reflectance distribution function (BRDF) shape in the current CI algorithm framework. Therefore, deriving a phenologically simplified stable CI product from a high-frequency CI product (e.g., 8 days) to reduce the uncertainty of CI seasonality and simplify CI applications remains important. …”
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