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Titlebook: Recent Trends in Image Processing and Pattern Recognition; 5th International Co KC Santosh,Ayush Goyal,Satish K Singh Conference proceeding

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41#
發(fā)表于 2025-3-28 16:23:03 | 只看該作者
42#
發(fā)表于 2025-3-28 21:13:09 | 只看該作者
Hubert Cecotti,Girish Tiwalehen describes the systemic approach of the college and the methodology used to analyse accounts from students, the vocational education coordinator, parents and employers and the school principal. In contrast to practices in other private schools, this cohort of students who are considered at risk b
43#
發(fā)表于 2025-3-29 00:11:20 | 只看該作者
Md. Fazlay Rabbi,Fatema Tuz Zohra,Farhana Hossain,Naznin Nahar Akhi,Shakil Khan,Kawsher Mahbub,Milonconstantly take place in our ordinary life, not only in the separate and specific time-space of liminal experience. Drawing on psychoanalytical insights, I thus wish to highlight the omnipresent nature of daydreaming, the process of reverie which takes place at the periphery of our consciousness and
44#
發(fā)表于 2025-3-29 06:24:34 | 只看該作者
Fernando J. Ramírez-Coronel,Oscar M. Rodríguez-Elías,Madaín Pérez-Patricio,Edgard Esquer-Miranda,Juls they are psychologically reconstructed and socially negotiated, and these define what can be done, said, or thought in different situations, and ii) people develop recurrent modes of ., I call patterns, for engaging in cultural experiences through their lives. I move from Stenner’s propositions to
45#
發(fā)表于 2025-3-29 10:23:27 | 只看該作者
46#
發(fā)表于 2025-3-29 14:21:04 | 只看該作者
Ayushi Patel,Priyanka Singh in which we encultured beings live. Where are the experiential “edges” of the frames of liminal experiences? How “fuzzy” are they? Robert Musil offers a challenge: “to pass freely through open doors, it is necessary to respect the fact that they have solid frames.”
47#
發(fā)表于 2025-3-29 18:38:56 | 只看該作者
48#
發(fā)表于 2025-3-29 21:24:08 | 只看該作者
49#
發(fā)表于 2025-3-30 01:54:09 | 只看該作者
Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for?Autisllations are then concatenated and fed to a LeNet-5-based convolutional neural network to predict ASD. The performances of the proposed approach are evaluated on ABIDE dataset and promising results are achieved. Three augmented datasets are considered and an accuracy of . is achieved by using LeNet-
50#
發(fā)表于 2025-3-30 04:57:51 | 只看該作者
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