Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…To carry out our study, we have selected four such techniques(a) threshold optimization using (i) GHOST and (ii) the area under the precision–recall curve (AUPR) curve, (b) internal balancing method of AutoML and class-weight of machine learning methods, and (c) data balancing using SMOTETomekand generated 27 data sets considering nine different class ratios (i.e., the ratio of the positive class and total samples) from three data sets that belong to the drug discovery and development field. …”

(a). Comparison of Translation Accuracy. by Na Wang (193263)

Synthetic Realness: Authenticity Collapse in the Age of AI by Reality Drift Working Papers Series 2020-2025 (22445446)

“…</p><p dir="ltr">This paper explores how curated, optimized, or AI-generated signals can feel more believable than lived experience: influencer vlogs that appear more “real” than daily life, AI chatbots that provide more comfort than human interaction, or polished corporate dashboards that feel truer than operational reality. …”

Fig 4 - by Michael S. Bradshaw (11772750)

“…Hyperparameters were tuned using a genetic optimization algorithm. Final trained models are evaluated on a held-out test set. …”

Accuracy and reliability of the fitted curves. by Ghazi Al-Rawas (16857943)

“…Then, this model was coupled with the Pareto Envelope-based Selection Algorithm-II (PESA-II) to identify the optimal channels’ characteristics and generate a range of non-dominated solutions that balance implementation costs, system resilience (measured by the Simple Urban Flood Resilience Index, SUFRI), and overflow. …”

Flowchart of the proposed framework. by Ghazi Al-Rawas (16857943)

“…Then, this model was coupled with the Pareto Envelope-based Selection Algorithm-II (PESA-II) to identify the optimal channels’ characteristics and generate a range of non-dominated solutions that balance implementation costs, system resilience (measured by the Simple Urban Flood Resilience Index, SUFRI), and overflow. …”

DeepInsight pipeline. by Jeseok Lee (21101255)

“…It creates representative images through dimension reduction and optimizes the images using the Convex Hull algorithm. …”

IREC applied to combined UP-20-4 and UC-20-4. by Creighton M. Lisowski (22756444)

The obtained scenarios of the wind speed by MCS. by Naima Agouzoul (21743513)

“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”

The obtained scenarios of the load by the MCS. by Naima Agouzoul (21743513)

“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”

Unraveling Adsorbate-Induced Structural Evolution of Iron Carbide Nanoparticles by Peter S. Rice (11805875)

“…For this purpose, we have developed a general procedure that we use to model an experimentally relevant 270-atom Fe₁₈₂C₈₈ NP using the neural network-assisted stochastic surface walk global optimization algorithm (SSW-NN). Once generated, the Fe₁₈₂C₈₈ NP active sites and particle morphology are thoroughly characterized before the effects of syngas adsorbate interactions are explored by using DFT and molecular dynamics simulations. …”

Comparison table of efficiency and safety. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

Comparison table of authentication delay. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

Comparison table of authentication delay. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

Comparison of total communication costs. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

Symbols and descriptions. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

The AVISPA model diagram. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

FMM and multi-layer security strategy diagram. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

Continuous message window authentication diagram. by Zhanfei Ma (12506951)

“…Therefore, this paper proposes a lightweight authentication framework for Cloud-Edge-End, which integrates the enhanced Fast Authentication and Signature Trust for SM9 (FAST-SM9) algorithm and zero-trust Dynamic Re-authentication (zero-trust-DRA) mechanism. …”

BiLSTM model structure diagram [30]. by Yuye Zou (22806476)

“…The model employs a sophisticated three-phase methodology: (1) decomposition through Variational Mode Decomposition (VMD) to extract multiple intrinsic mode functions (IMFs) from the original time series, effectively capturing its nonlinear and complex patterns; (2) optimization using a Chaotic Particle Swarm Optimization (CPSO) algorithm to fine-tune the Bi-directional Long Short-Term Memory (BiLSTM) network parameters, thereby improving both predictive accuracy and model stability; and (3) integration of predictions from both high-frequency and low-frequency components to generate comprehensive final forecasts. …”