Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning by Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu

Subjects: “…AMSF‐L1ELM…”
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Analisis Perbandingan Algoritma Machine Learning dan Deep Learning untuk Klasifikasi Citra Sistem Isyarat Bahasa Indonesia (SIBI) by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Pada penelitian sebelumnya belum ada yang melakukan perbandingan algoritma klasifikasi machine learning dan deep learning untuk pengenalan SIBI. …”
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AI‐Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis by Caglar Ozturk, Daniel H. Pak, Luca Rosalia, Debkalpa Goswami, Mary E. Robakowski, Raymond McKay, Christopher T. Nguyen, James S. Duncan, Ellen T. Roche

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Detect material volume by fusing heterogeneous camera target detection and depth estimation information by Wei Tian, Xuecong Cheng, Yipeng Zhang, Huazhi Lin

“…To combine the advantages of monocular and binocular measurements, this paper proposes an algorithm that integrates heterogeneous camera depth estimation and target detection information to realize material volume detection. First, the improved DeepLabV3+ is used to detect the edge of the material pile in the monocular camera target detection, and the CREStereo cascade network is used in the binocular camera to calculate the depth map; then, SIFT is combined with FLANN to map the edge of the material pile into the depth map and separate the depth of the material pile; finally, the three-dimensional coordinates of each point in the material pile are calculated, and the volume is calculated using the microelement method. …”
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Ways of Aesthetically Integrating Conservation Theory in an Era of Neoliberal Illusions and Post-Colonial Migration by Hiltrud Schinzel

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Dietary Dose Conversion of Whole Grains and Non-soy Legumes between Mice and Humans by ZHI Li, ZHU Yiqing, ZHAO Liangxing, CHEN Rui, ZHAO Qingyu, WANG Chao, XUE Yong, SHEN Qun

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Behaviour of Tritium and Tritiogenic Helium in Freshwater Lens Groundwater Systems: Insights from Langeoog Island, Germany by Vincent E. A. Post, Georg J. Houben, Leonard Stoeckl, Jürgen Sültenfuß

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Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy by Rishi S. Ramani, Ivy Tan, Lindsay Bussau, Lorraine A. O’Reilly, John Silke, Christopher Angel, Antonio Celentano, Lachlan Whitehead, Michael McCullough, Tami Yap

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The Lipo-DIEP Flap Breast Reconstruction: A Valuable Innovation for Maximizing Abdominal Tissue Volume by Benedetto Longo, MD, PhD, Gennaro D’Orsi, MD, Alessio Farcomeni, PhD, Martina Giacalone, MD, Elettra Gagliano, Lisa Vannucchi, MD, Maximilian Catenacci, MD, Gianluca Vanni, MD, Claudio Oreste Buonomo, MD, Valerio Cervelli, MD

“…Background:. The deep inferior epigastric perforator (DIEP) flap is universally considered the gold standard technique for breast reconstruction (BR), though it cannot always be proposed to patients with insufficient donor-site volume. …”
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L’illusion de la désillusion : Essai d’interprétation génétique de L’Éducation sentimentale by Kazuhiro Matsuzawa

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Numerical Investigations on the Effect of Fracture Length Distribution on the Representative Elementary Volume of 3D Discrete Fracture Networks by Ding Liu, Hai Pu, Shiru Guo, Ziheng Sha, Chong Li

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The Daily Container Volumes Prediction of Storage Yard in Port with Long Short-Term Memory Recurrent Neural Network by Yinping Gao, Daofang Chang, Ting Fang, Yiqun Fan

“…In this work, by deep learning the historical dataset, the long short-term memory (LSTM) recurrent neural network (RNN) is used to predict daily volumes of containers which will enter the storage yard. …”
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Association between the subclinical level of problematic internet use and habenula volume: a look at mediation effect of neuroticism by Toshiya Murai, Hironobu Fujiwara, Qi Dai, Halwa Zakia, Yusuke Kyuragi, Naoya Oishi, Yuzuki Ishikawa, Lichang Yao, Morio Aki

“…The significant trait was then treated as a mediator between Hb volume and IAT correlation in mediation analysis with a bootstrap value of 5000.Results Relative Hb volume was negatively correlated with IAT scores (partial rho=−0.142, p=0.009). …”
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Comparison of 1D and 3D volume measurement techniques in NF2-associated vestibular schwannoma monitoring by Isabel Gugel, Nuran Aboutaha, Bianca Pfluegler, Ulrike Ernemann, Martin Ulrich Schuhmann, Marcos Tatagiba, Florian Grimm

“…For this reason, they are not recommended for monitoring off-label therapy with Bevacizumab or for treatment decisions depending on a precise assessment of tumor volume and growth. Developing deep learning-based volume determinations in the future is essential to reduce SVA’s time intensity.…”
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Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC by Gustavo A. Mesías-Ruiz, José M. Peña, Ana I. de Castro, José Dorado

“…In maize, the weed species include Atriplex patula, Chenopodium album, Convolvulus arvensis, Datura ferox, Lolium rigidum, Salsola kali and Sorghum halepense. …”
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A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting by Bin Li, Yuqing He

“…The synergy of computational logistics and deep learning provides a new methodology and solution to the operational decisions of container terminal handling systems (CTHS) at the strategic, tactical, and executive levels. …”
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Physical and chemical properties of three wild almond wood species grown in Zagros forests by Leila Fathi, Redžo Hasanagić, Yaghoob Iranmanesh, Mohammad Dahmardeh Ghalehno, Miha Humar, Mohsen Bahmani

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A dataset of annotated African plum images from Cameroon for AI-based quality assessmentKaggle by Arnaud Nguembang Fadja, Armel Gabin Fameni Tagni, Sain Rigobert Che, Marcellin Atemkeng

“…This resource is valuable for developing and testing computer vision, deep learning-based recognition systems and object detection models in agriculture, enabling automated evaluation of plum quality for commercialization. …”
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FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model by Xiaozheng Du, Shijing Hu, Feng Zhou, Cheng Wang, Binh Minh Nguyen

“…This paper innovatively proposes a new NL2SQL method based on a large language model (LLM), which could be adapted to an edge-cloud computing platform. …”
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Evaluating Large Language Models for Optimized Intent Translation and Contradiction Detection Using KNN in IBN by Muhammad Asif, Talha Ahmed Khan, Wang-Cheol Song

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