MAPPING AT A SMALL SCALE. GENERAL REFLECTIONS ON A PARTICULAR EXPERIENCE by Carles Carreras, Sergi Martinez-Rigol, Sergio Moreno

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Enhanced Geometrical Self-calibration of planar CT by Erfan Bagheri, Amirhossein Saedpanah, Hamidreza Safari, Pouya Parvizian, Abbas Mohammadkazemi, Seyed Roohollah Hosseini

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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

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Hybrid Deep Learning Architecture with Adaptive Feature Fusion for Multi-Stage Alzheimer’s Disease Classification by Ahmad Muhammad, Qi Jin, Osman Elwasila, Yonis Gulzar

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ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms by Umm-e-Hani Tayyab, Faiza Babar Khan, Asifullah Khan, Muhammad Hanif Durad, Farrukh Aslam Khan, Aftab Ali

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Paint Loss Detection and Segmentation Based on YOLO: An Improved Model for Ancient Murals and Color Paintings by Yunsheng Chen, Aiwu Zhang, Jiancong Shi, Feng Gao, Juwen Guo, Ruizhe Wang

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Individual tree extraction through 3D promptable segmentation networks by Tianyu Xiu, Hanwen Qi, Jiabo Xu, XinLian Liang

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Architecture-Aware Augmentation: A Hybrid Deep Learning and Machine Learning Approach for Enhanced Parkinson’s Disease Detection by Madjda Khedimi, Tao Zhang, Hanine Merzougui, Xin Zhao, Yanzhang Geng, Khamsa Djaroudib, Pascal Lorenz

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MULTICAUSENET temporal attention for multimodal emotion cause pair extraction by Ma Junchi, Hassan Nazeer Chaudhry, Farzana Kulsoom, Yang Guihua, Sajid Ullah Khan, Sujit Biswas, Zahid Ullah Khan, Faheem Khan

“…This paper presents MultiCauseNet, a novel framework designed to effectively extract emotion-cause pairs by leveraging multimodal data, including text, audio, and video. …”
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Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

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Diagnosis of early nitrogen, phosphorus and potassium deficiency categories in rice based on multimodal integration and knowledge distillation by Xuanying Liao, Hongyun Yang

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Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm by Rana Al-Rawashdeh, Md Mahfuzur Rahman, Mahmood Niazi

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Intraoperative Surgical Navigation and Instrument Localization Using a Supervised Learning Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…To mitigate these issues, we propose SurgTrackNet, a unified framework specifically designed for surgical instrument tracking that integrates detection and tracklet association using transformer-based models. …”
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AI-Powered Lung Cancer Detection: Assessing VGG16 and CNN Architectures for CT Scan Image Classification by Rapeepat Klangbunrueang, Pongsathon Pookduang, Wirapong Chansanam, Tassanee Lunrasri

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Surface Defect Detection Based on Adaptive Multi-Scale Feature Fusion by Guochen Wen, Li Cheng, Haiwen Yuan, Xuan Li

“…To this end, this study proposes a new adaptive multi-scale feature fusion network (AMSFF-Net) to solve the SOD problem of object surface defects. …”
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A Multi-Modal Approach for the Molecular Subtype Classification of Breast Cancer by Using Vision Transformer and Novel SVM Polyvariant Kernel by Vinayak Shukla, Kaarthika, Archana Mathur, Piyush Narayan, Kunal Kishor

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Pancreatic neuroendocrine tumors and pathogenic variants: a multinational study by Rachel P. Riechelmann, Giovana T. Torrezan, Emily Bergsland, Nitya Raj, Jonathan Strosberg, Farhana Moon, Tiago C. Felismino, Stian Knappskog, Elena Trevizani, Sara Cingarlini, Halfdan Sorbye

“…Tumor mutation burden (TMB) was low in the six treatment-naïve PanNET (TMB: 0–9) with this information, but three of seven tumors molecularly profiled after alkylating drugs and/or radioligand therapy had high TMB (TMB: 97, 65, and 728). …”
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Hybrid deep learning framework for robust time-series classification: Integrating inception modules with residual networks by Duong Thi Kim Chi, Nguyen Thi Mai Trang, Tran Ba Minh Son, Nguyen Ngoc Thao, Thanh Q. Nguyen

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Stability indicators in network reconstruction. by Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello

“…First, the effect of sample size on stability of inferred networks is studied in a gold standard framework on yeast-like data from the Gene Net Weaver simulator. We also consider the impact of varying modularity on a set of structurally different networks (50 nodes, from 2 to 10 modules), and then of complex feature covariance structure, showing the different behaviours of standard reconstruction methods based on Pearson correlation, Maximum Information Coefficient (MIC) and False Discovery Rate (FDR) strategy. …”
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Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

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