Search alternatives:
derived optimization » driven optimization (Expand Search), required optimization (Expand Search), design optimization (Expand Search)
process optimization » model optimization (Expand Search)
primary role » primary care (Expand Search), primary goal (Expand Search)
role process » whole process (Expand Search), prone process (Expand Search), cycle process (Expand Search)
ipsc » psc (Expand Search), ips (Expand Search), ipc (Expand Search)
derived optimization » driven optimization (Expand Search), required optimization (Expand Search), design optimization (Expand Search)
process optimization » model optimization (Expand Search)
primary role » primary care (Expand Search), primary goal (Expand Search)
role process » whole process (Expand Search), prone process (Expand Search), cycle process (Expand Search)
ipsc » psc (Expand Search), ips (Expand Search), ipc (Expand Search)
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MLP vs classification algorithms.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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A Comprehensive Review on Evolution Behavior of Particle Size Distribution During Fine Grinding Process for Optimized Separation Purposes
Published 2024“…This comprehensive review delves into six crucial facets, offering a systematic appraisal: (1) the statistical framework and evaluation methodologies for characterizing particle size distribution, which includes the intricacy of model analysis and interpretation; (2) the property of grinding products, which emphasizes the physicochemical attribute that influences the sorting efficiency and the product quality; (3) grinding kinetics models, which emphasizes the integration of advanced algorithms and experimental validations; (4) the intricate relationship between characteristic particle size and energy consumption, which elucidates the mechanistic underpinning of particle size reduction and energy consumption; (5) stress intensity theory, which elucidates the role of mechanical forces in particle breakage and size reduction; and (6) optimization techniques tailored toward achieving the desired particle size interval, which highlights the grinding technical efficiency and the attainable region method inherent in optimizing the operation parameter of mills. …”
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Proposed reinforcement learning architecture.
Published 2025“…By using raw audio with visual cues, our objective is to enrich the decision-making process of the agent at each stage. Experimental evaluation were conducted employing Deep Q Networks (DQN) and Proximal Policy Optimization (PPO) algorithms within ViZDoom and Unity reinforcement learning environments. …”
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SPAM-XAI confusion matrix.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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Illustration of MLP.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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Dataset detail division.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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Software defects types.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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11
SMOTE representation.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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12
Demonstration confusion matrix.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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Analysis PC2 AU-ROC curve.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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14
PROMISE defects prediction attribute aspects.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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15
Internal architecture of the SPAM-XAI model.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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16
SPAM-XAI compared with previous models.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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SPAM-XAI confusion matrix using PC2 dataset.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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Overview of SPAM-XAI model complete architecture.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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SPAM-XAI using the PC1 dataset.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”
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SPAM-XAI using the CM1 dataset.
Published 2024“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”