Adaptive hybrid hyperparameter optimization with MRFO and Lévy flight for accurate melanoma classification by Shamsuddeen Adamu, Hitham Alhussian, Said Jadid Abdulkadir, Ayed Alwadin, Sallam O. F. Khairy, Hussaini Mamman, Shamsu Abdullahi, Saidu Yahaya, Aliyu Garba, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Daniel Tonye Oyefidein

“…When compared to MRFO, PSO, and GA, the proposed method improved ISIC accuracy by 0.40%, reduced PH $$ ^2 $$ 2 loss by over 95%, and converged up to 30% faster. …”
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Cost and effectiveness of differentiated ART service delivery strategies in Zambia: a modelling analysis using routine data by Nkgomeleng A. Lekodeba, Sydney Rosen, Bevis Phiri, Sithabiso D. Masuku, Caroline Govathson, Aniset Kamanga, Prudence Haimbe, Hilda Shakwelele, Muya Mwansa, Priscilla Lumano‐Mulenga, Amy N. Huber, Sophie J. S. Pascoe, Lise Jamieson, Brooke E. Nichols

“…Methods We developed an Excel‐based mathematical model using retrospective retention and viral suppression data from a national cohort of ART clients (≥15 years) in Zambia between January 2018 and March 2022 stratified by age, sex, setting (urban/rural) and model of ART delivery. …”
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Advances in Hosting Capacity Assessment and Enhancement Techniques for Distributed Energy Resources: A Review of Dynamic Operating Envelopes in the Australian Grid by Naveed Ali Brohi, Gokul Thirunavukkarasu, Mehdi Seyedmahmoudian, Kafeel Ahmed, Alex Stojcevski, Saad Mekhilef

“…This paper reviews state-of-the-art HC assessment methods, including deterministic, stochastic, time-series, and AI-based approaches. …”
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Uncertainty CNNs: A path to enhanced medical image classification performance by Vasileios E. Papageorgiou, Georgios Petmezas, Pantelis Dogoulis, Maxime Cordy, Nicos Maglaveras

“…Uncertainty quantification (UQ) is important as it helps decision-makers gauge their confidence in predictions and consider variability in the model inputs. Numerous deterministic deep learning (DL) methods have been developed to serve as reliable medical imaging tools, with convolutional neural networks (CNNs) being the most widely used approach. …”
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…Traditional flight plan adjustment and management methods often rely on deterministic trajectory predictions, ignoring the inherent temporal uncertainties in actual operations, which may lead to the underestimation of potential risks. …”
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Cost‐effectiveness of Resonance® metallic ureteral stent compared with standard polyurethane ureteral stents in malignant ureteric obstruction: A cost‐utility analysis by Dawn M. Cooper, Rachel Lines, Iqbal Shergill

“…Deterministic and probabilistic sensitivity analyses were undertaken to assess the effect of uncertainty. …”
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Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach by Chenlong Wang, Bo Ai, Ruisi He, Mi Yang, Shun Zhou, Long Yu, Yuxin Zhang, Zhicheng Qiu, Zhangdui Zhong, Jianhua Fan

“…Using a convolutional network activation visualization method, the interpretability of the proposed model is improved. …”
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Application of sparrow search swarm intelligence optimization algorithm in identifying the critical surface in slope-stability by Abhijit Saha

“…The objective function to be optimized is the factor of safety against failure given by Bishop's (Bishop in Geotechnique 5:7–17, 1955) simplified method. Results show SSA is a strong contender to bio-inspired methods like genetic algorithms, big-bang big-crunch, simulated annealing, and artificial bee colony algorithms. …”
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Risk–Cost Equilibrium for Grid Reinforcement Under High Renewable Penetration: A Bi-Level Optimization Framework with GAN-Driven Scenario Learning by Feng Liang, Ying Mu, Dashun Guan, Dongliang Zhang, Wenliang Yin

“…Moreover, the stress investment frontier exhibits clear convexity, enabling planners to identify cost-efficient resilience strategies. Spatial congestion maps and scenario risk-density plots further illustrate the ability of adversarial learning to reveal latent structural bottlenecks not captured by conventional methods. …”
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Data-Driven Distributionally Robust Optimization for Solar-Powered EV Charging Under Spatiotemporal Uncertainty in Urban Distribution Networks by Tianhao Wang, Xuejiao Zhang, Xiaolin Zheng, Jian Wang, Shiqian Ma, Jian Chen, Mengyu Liu, Wei Wei

“…Comparative results demonstrate that the proposed DDRO method reduces total operational costs by up to 15%, eliminates voltage violations entirely, and improves EV service satisfaction by more than 30% relative to deterministic and stochastic baselines. …”
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Cost-effectiveness analysis of the multi-strategy WHO emergency care toolkit in regional referral hospitals in Uganda. by Kalin Werner, Nicholas Risko, Joseph Kalanzi, Lee A Wallis, Teri A Reynolds

“…We analysed the cost-effectiveness of the toolkit and conducted a budget analysis to estimate the impact of scale up to all regional referral hospitals for the national level.<h4>Methods</h4>A decision tree model was constructed to assess pre- and post-intervention groups from a societal perspective. …”
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Rhizosphere-associated bacterial and fungal communities of two maize hybrids under increased nitrogen fertilization by Qing Liu, HongCui Dai, Hao Cheng, Guodong Shao, Liang Wang, Hui Zhang, Yingbo Gao, Kaichang Liu, Xiaomei Xie, Junhua Gong, Xin Qian, Zongxin Li

“…Nevertheless, the effects of heightened nitrogen fertilizer demand of these crops on the composition and assembly of soil microbial communities in agricultural production require further elucidation.MethodsIn this study, the effects of four nitrogen fertilizer managements on rhizosphere bacterial and fungal community assembly, co-occurrence network and function of two maize hybrids (LD981 and DH605) were compared.Results and discussionFindings revealed that the bacterial community was primarily shaped by deterministic processes, while stochastic processes played a pivotal role in fungal community assembly. …”
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

“…However, diagnosing ASD remains a challenge, as it is traditionally carried out through methods that are often subjective and based on interviews and clinical observations. …”
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Presenting a Quantum Leadership Model to Establish Organizational Civilization in the Iranian Higher Education System by reza heydari, hamidreza rezaeekelidbari, musa chaman zamin

“…Abstract The aim of this study is to present a quantum leadership model to establish organizational civilization in the Iranian higher education system. The research method is fundamental in terms of its purpose, and qualitative in terms of its implementation method, with inductive-deductive logic. …”
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Providing a Robust Dynamic Pricing Model and Comparing It with Static Pricing in Multi-level Supply Chains Using a Game Theory Approach by Sara Mehrjoo, Hanan Amoozad Mahdirji, Jalil Heidary Dahoei, Seyyed Hossein Razavi Haji Agha, Mahnaz Hosseinzadeh

“…Objective Designing a multi-level supply chain network with efficient product flow management is an important issue in supply chain management. …”
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Microbial composition, assembly, and functional characteristics of generalized and specialized subcommunities under flooded paddy fields: long-term pesticide versus non-pesticide m... by Jing-Wen Wang, Jing-Wen Wang, Cai-Ting Han, Cai-Ting Han, Cai-Ting Han, Dong-Ming Wu, Dong-Ming Wu, Dong-Ming Wu, Wei Zhou, Wei Zhou, Miao Gao, Miao Gao, Yu-Shuang Li

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Prediction of Expected Fouling Time During Transmembrane Transition in Reverse Osmosis Systems by Jozsef Lakner, Gabor Lakner

“…However, a common limitation of these methods is that they typically assume constant and well-defined operating parameters over time. …”
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Advanced Scalable Multi-Beam Focusing for Indoor Optical Wireless Networks With IR Radiative Clusters by Sharadhi Gunathilake, Ampalavanapillai Nirmalathas, Kosala Herath, Malin Premaratne

“…Instead of stochastic algorithms, we adopt a sparse relaxation-based weighted sum method that convexifies the binary space with <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> norm regularization compensating for convexity. …”
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Enhanced Single Cavity Soliton Generation in Kerr Microresonators Via Inverse-Kelly Sideband by Mingle Liao, Heng Zhou, Yong Geng, Yun Ling, Baojian Wu, Kun Qiu

“…Our method only requires fixed-speed unidirectional pump frequency sweeping to achieve single soliton state, avoiding complex pump scanning trajectory and high frequency pump modulation. …”
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An integrated workflow combining machine learning and wavelet transform for automated characterization of heterogeneous groundwater systems by Musaab A. A. Mohammed, Norbert P. Szabó, Abdelrhim Eltijani, Péter Szűcs

“…Abstract Groundwater aquifers are complex systems that require accurate lithological and hydrogeological characterization for effective development and management. Traditional methods, such as core analysis and pumping tests provide precise results but are expensive, time-consuming, and impractical for large-scale investigations. …”
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