Results 131 to 140 of about 95,729 (269)

МЕТОД ВИЯВЛЕННЯ АТАК НА КОРПОРАТИВНІ ВЕБ-ДОДАТКИ НА ОСНОВІ ГРАДІЄНТНОГО БУСТИНГУ

open access: yesКібербезпека: освіта, наука, техніка
У роботі розглянуто задачу виявлення веб-атак у мережевому трафіку корпоративних веб-додатків в умовах переваги кількості шифрованих з’єднань, коли аналіз вмісту запитів є обмеженим, а ключову роль відіграють потокові та поведінкові характеристики ...
Анна Бойко
doaj   +1 more source

Individualized Treatment in Distal and Medium Vessel Occlusion Stroke Using a Validated Explainable Counterfactual Treatment Estimation Model

open access: yesAnnals of Neurology, EarlyView.
Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim   +14 more
wiley   +1 more source

Enhancing Image Classification of Cabbage Plant Diseases Using a Hybrid Model Convolutional Neural Network and XGBoost

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi
Classifying imbalanced datasets presents significant challenges, often leading to biased model performance, particularly in multiclass classification.
Nabila Ayunda Sovia   +3 more
doaj   +1 more source

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

open access: yesAnnals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono   +5 more
wiley   +1 more source

Izslēgšanas metode XGBoost algoritmam

open access: yes, 2019
Dropout method, DART algorithm, XGBoost algorithm and XGBoost hyperparameters (α, λ, γ, srinkage un subsample) related to model regularization were researched. Ways of graphically depicting the effect of dropouts and XGBoost hyperparameters on the contribution of individual decion trees on the output of the model and on the overfit of the model were ...
openaire   +1 more source

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya   +7 more
wiley   +1 more source

Patterns of interspecific variation in labial microarchitecture among anthropoid primates and the evolution of the hominin lips

open access: yesThe Anatomical Record, EarlyView.
Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich   +5 more
wiley   +1 more source

Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep

open access: yesAnimal Research and One Health, EarlyView.
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang   +3 more
wiley   +1 more source

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multi‐Omic Analysis: Insights into Cardiovascular and Renal Complications

open access: yesArthritis &Rheumatology, Accepted Article.
Background Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó   +84 more
wiley   +1 more source

Potential contribution of biomass gasification‐based technology in energy transition: a technical review coupled with bibliometric studies

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye   +5 more
wiley   +1 more source

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