反叛者
发表于 2025-3-26 22:00:45
K. Shankar,A. Abudhahirnective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
Unsaturated-Fat
发表于 2025-3-27 01:17:32
Prasenjit Dhar,K. Suganya Devi,Satish Kumar Satti,P. Srinivasannective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
gimmick
发表于 2025-3-27 08:50:27
Arpit Kumar Sharma,Amita Nandal,Arvind Dhaka,Rahul Dixitnective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
合乎习俗
发表于 2025-3-27 11:24:01
Brijendra Guptanective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
Shuttle
发表于 2025-3-27 16:00:14
Sujit Kumar Das,Pinki Roy,Arnab Kumar Mishranective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
Stable-Angina
发表于 2025-3-27 19:10:44
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FORGO
发表于 2025-3-28 00:36:54
An Automatic Classification Methods in Oral Cancer Detection,e advancement of detection of infected regions. In addition, some best elementary approaches are also discussed to increase the recovery score. The goal is to increase the survival rate by diagnosing the oral cancer in less time duration and with more efficient detection methods which will be a significant step in the area of medical imaging.
正论
发表于 2025-3-28 05:31:38
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olfction
发表于 2025-3-28 08:25:11
Comparative Analysis of Various Deep Learning Algorithms for Diabetic Retinopathy Images,f image processing techniques like resizing, cropping, Gaussian blur method, feature extraction, etc. The result represents that VGG16 performed better with 77.49% accuracy compared to DenseNet and ResNet 50 for the detection of diabetic retinopathy.
EWE
发表于 2025-3-28 14:23:38
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