Spatial Distribution and Invasion Potential of the Naturalized Downy Thorn Apple (Datura innoxia): Evidence from Classification and Ordination حسب Kishwar Ali (14581226)

Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review حسب Rehaan Hussain (22302742)

Recent progress and challenges on adsorptive membranes for the removal of pollutants from wastewater. Part I: Fundamentals and classification of membranes حسب Qalyoubi, Liyan Omar

"…Their classifications can be established based on either the type of the adsorbent used or their polymers matrix. …"
احصل على النص الكامل

Enhancing Arabic Offensive Tweet Classification: An Ensemble Approach Integrating AraBERT, Neural Networks, and LSTM Models حسب WAHDAN, AHLAM MOHAMMAD

الموضوعات: "…Arabic offensive classification, preprocessing techniques, AraBERT, AraBERT preprocessing, ensemble methodology, deep learning, neural networks, LSTM, natural language processing, emoji interpretation…"
احصل على النص الكامل

Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect حسب Habeeb, Abdallah

الموضوعات: احصل على النص الكامل

Reading between the (Genetic) Lines: How Epigenetics is Unlocking Novel Therapies for Type 1 Diabetes حسب Ammira-Sarah AL-Shabeeb Akil (18949477)

الموضوعات:

Application of TiO₂-loaded fly ash-based geopolymer in adsorption of methylene blue from water: Waste-to-value approach حسب Johaina Alahmad (19205965)

الموضوعات:

Development of a Machine Learning Based Smart Water Leak Detection System حسب Al Hassani, Rabab

الموضوعات: احصل على النص الكامل

Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

الموضوعات: "…Disease -- Classification…"
احصل على النص الكامل
احصل على النص الكامل

Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language حسب Shanableh, Tamer

الموضوعات: احصل على النص الكامل

Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network حسب Tiwari, Shamik

الموضوعات: "…PCOS; ConvNet; Sellf-attention ConvNet; Classification.…"
احصل على النص الكامل
احصل على النص الكامل

A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality حسب KARAM, ZAINAB HAMDAN

الموضوعات: احصل على النص الكامل

Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM) حسب AL SHOUBAKI, HAMZA YOUNIS

الموضوعات: "…Arabic poetry, text classification, RNN, LSTM, Bi-LSTM…"
احصل على النص الكامل

Clinical attachment loss may serve as a more precise, suitable, and pragmatic grading instrument for periodontitis: A clinical and radiographic validation study حسب Meer, Rayan M.

الموضوعات: "…Classification…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies حسب Chang, Xu

الموضوعات: احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Beyond genetics: Exploring the role of epigenetic alterations in breast cancer حسب Kirti S. Prabhu (4246144)

الموضوعات:

MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography حسب Mohammed Yaqoob (344668)

الموضوعات:

A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification حسب Mohamed Sultan Mohamed Ali (17317003)

"…The proposed model addresses the challenges of spectral feature extraction and enhances classification accuracy by leveraging advanced deep learning techniques. …"

Plant disease management: a fine-tuned enhanced CNN approach with mobile app integration for early detection and classification حسب Mudassir Iftikhar (21323900)

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…Our model achieved an average classification accuracy of 97.25 percent, exceeding current leading techniques. …"