Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017 If we search literature for integrated process planning and scheduling problem and for scheduling with due date assignment problem we can find hundreds of researches made on these problems.
Halil İbrahim Demir, Caner Erden
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Learning to Guide Random Search
CoRR, 2020 We are interested in derivative-free optimization of high-dimensional functions. The sample complexity of existing methods is high and depends on problem dimensionality, unlike the dimensionality-independent rates of first-order methods. The recent success of deep learning suggests that many datasets lie on low-dimensional manifolds that can be ...
Ozan Sener, Vladlen Koltun
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Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Limiting behavior of the search cost distribution for the move-to-front rule in the stable case [PDF]
Move-to-front rule is a heuristic updating a list of n items according to requests. Items are required with unknown probabilities (or popularities). The induced Markov chain is known to be ergodic. One main problem is the study of the distribution of the
Antonio Lijoi +2 more
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An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Hate speech classification is a critical task in the domain of natural language processing, aiming to mitigate the negative impacts of harmful content on digital platforms.
Muhamad Ridwan, Ema Utami
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Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation [PDF]
Revista Brasileira de MeteorologiaThe increased consumption of natural resources, such as water, has become a global concern. Consequently, determining information that can minimize water consumption, such as evapotranspiration, is increasingly necessary.
Eluã Ramos Coutinho +4 more
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Improving the Robustness and Quality of Biomedical CNN Models through Adaptive Hyperparameter Tuning
Applied Sciences, 2022 Deep learning is an obvious method for the detection of disease, analyzing medical images and many researchers have looked into it. However, the performance of deep learning algorithms is frequently influenced by hyperparameter selection, the question of
Saeed Iqbal +4 more
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Random Search Plus: A more effective random search for machine learning hyperparameters optimization [PDF]
, 2020 Machine learning hyperparameter optimization has always been the key to improve model performance. There are many methods of hyperparameter optimization.
Li, Bohan
core
Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source