Parity and longevity of Aedes aegypti according to temperatures in controlled conditions and consequences on dengue transmission risks. by Daniella Goindin, Christelle Delannay, Cédric Ramdini, Joël Gustave, Florence Fouque

“…Some females were dissected at different physiological stages to observe the ovaries development. …”
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Financial expenditure as a criterion for choosing the most appropriate method for ecological corridor implementation by RENAN A. OLIVEIRA, LILIANE M. NERY, VANESSA CÉZAR SIMONETTI, ARTHUR P. DOS SANTOS, ANTÔNIO CÉSAR G. MARTINS, DARLLAN C.C. SILVA

“…Using land use and vegetation cover data as input, corridors were modeled based on four different resistance surfaces, which were generated in LSCorridors (pixel-based measure (PM), minimum (LMmin), average (LMavg), and maximum (LMmax) landscape measures. …”
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Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

“…Unlike previous approaches, our methodology (1) systematically evaluates multiple ML algorithms and transformation techniques for WDE prediction, (2) provides quantitative assessment of feature importance that aligns with physical understanding of erosion mechanisms, (3) demonstrates superior predictive accuracy compared to traditional empirical models, and (4) offers a generalizable approach applicable across different metallic materials and impact conditions. …”
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Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space by Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi

“…We evaluated the effectiveness of the created latent space by showing its capability to preserve pair-wise similarities like well-known dimensionality reduction techniques. …”
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A multi-attribute group decision-making algorithm based on soft intervals that considers the priority rankings of group members on attributes of objects, along with some applicatio... by Gözde Yaylalı Umul

“…The first algorithm enabled us to obtain the choice object based on the ranking of decision makers with equal influence on the decision, while the second algorithm achieved this for rankings of those with different influences. Both of these seeked to find the most appropriate object by considering the priority rankings of users in scenarios where a joint decision was required and the optimal decision objects were subsequently ranked. …”
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Influence of Drilling Parameters on the Delamination and Surface Roughness of Insulative-Coated Glass/Carbon-Hybrid Composite by Sarower Kabir, Faiz Ahmad, Chowdhury Ahmed Shahed, Ebru Gunister

“…ANOVA and full factorial response optimizer were used to evaluate the influence and optimum drilling parameters. …”
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MODAMS: design of a multimodal object-detection based augmentation model for satellite image sets by Rahul Malik, Rachit Garg, Korhan Cengiz, Nikola Ivković, Adnan Akhunzada

“…The identified objects are analyzed via a cascaded dual Generative Adversarial Network (cdGAN), which estimates an object-level importance metric, which is used to evaluate its importance probability levels. …”
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The accuracy of image-based individual tree crown detection and delineation across vegetation types by N. Pucino, T. McVicar, S. Levick, A. van Dijk

“…Despite their promise, inconsistencies in algorithmic performance arise due to varying vegetation types, point cloud densities, and dataset-specific characteristics, which limit the generalizability of supervised models.<br />This study evaluates the performance of different ITS and Canopy Height Model (CHM) algorithms for generating large tree crown datasets using LiDAR-derived data from across Australia. …”
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Climatic Influences on the Environmental Performances of Residential Buildings: A Comparative Case Study in Turkey by Yigit Yardımcı, Burcu Buram Colak Demirel, Merve Ertosun Yıldız

“…BIM-based LCA methods were used to investigate the influence of regional and climatic differences on environmental performance. The impacts of material components across all life cycle stages were analyzed, and recommendations for their optimization were provided. …”
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GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer by Kang Han, Li Xu

“…The importance of examining the wake effect of wind farms for optimizing their layout and augmenting their power generation efficiency is immense. …”
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A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

“…A K-means clustering method is implemented to classify price, energy demand, wind, and photovoltaic generation into appropriate clusters embedded into the particle swarm optimization (PSO) algorithm. …”
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DRL-based Joint Beamforming and Power Allocation in Beyond Diagonal Reconfigurable Intelligence Surface 6G Systems by Mousa Abdollahvand, Sima Sobhi-givi

“…Our findings underscore the transformative potential of BD-RIS and DRL in enhancing wireless communication systems, laying the groundwork for next-generation network optimization and deployment.…”
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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

“…The proposed method was evaluated using four datasets containing different types of code smells and was compared with a previous study that used SML techniques. …”
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LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering by Zhensheng Liu, Prateek Agrawal, Saurabh Singhal, Vishu Madaan, Mohit Kumar, Pawan Kumar Verma

“…This article proposed a model named LLM based Personalized Intelligent Tutoring System (LPITutor) that is based on LLM for personalized ITS that leverages retrieval-augmented generation (RAG) and advanced prompt engineering techniques to generate customized responses aligned with students’ requirements. …”
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Comparative Analysis of Supervised Classification Algorithms for Residential Water End Uses by Zahra Heydari, Ashlynn S. Stillwell

“…We then utilized grid search to train each model on their respective optimized hyperparameters. The RF model exhibited the best model performance overall, while the Log‐reg model had the shortest execution times under different balanced and imbalanced (based on number of events per class) synthetic data scenarios, demonstrating a computationally efficient alternative for RF for specific end uses. …”
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An improved Harris corner detection method for honeycomb structures by Pengfei Zheng, Wilson Byiringiro, Weiwei Xie, Zhengkai Jiang, Can Cui, Yongjun Wu

“…Initially, the influence of parameters on Harris detection results is examined, and an empirical equation is derived to directly determine the optimal parameter values. Subsequently, a thinning process is applied to generate a honeycomb skeleton with single-pixel lines, ensuring consistent parameter settings across different cellular images and eliminating scale discrepancies. …”
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Effects of Nanosecond Pulsed Electric Fields in Cell Vitality, Apoptosis, and Proliferation of TPC-1 Cells by Zhenguo Liu, Yawen Zou, Ying Sun, Xiaolong Chen, Xinhua Chen, Zhigang Ren

“…Objective. To evaluate the effects of nanosecond pulsed electric fields (nsPEFs) with different pulse durations in cell vitality, apoptosis, and proliferation of TPC-1 cells, optimize pulse parameters and expand the application range of nsPEFs. …”
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An Investigation into the Utilisation of CNN with LSTM for Video Deepfake Detection by Sarah Tipper, Hany F. Atlam, Harjinder Singh Lallie

“…However, the existing research lacks systematic evaluations that comprehensively assess their effectiveness and optimal configurations. …”
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Investigating Configuration-Induced Changes in Hybrid Microgrid (HµG) Parameters for Grid-Connected and Standalone Modes by Abraham O. Amole, Owomano N. Imarhiagbe, Stephen Oladipo, Yanxia Sun

“…Through technical analyses, an energy system design is presented for comparing performance across different scenarios. In contrast to previous research, HµGs incorporating solar photovoltaic (PV) systems, wind turbine generation (WTG), diesel generators (DG), and battery energy storage systems (BESS) are modeled. …”
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Planning off-grid rural electrification with MicroGridsPy: The case of Dugub, Nigeria by Cyril Onyilokwu Agbo, Alessandro Onori, Nicolo Stevanato, Riccardo Mereu, Cosmas U. Ogbuka, Mkpamdi N. Eke, Chika O. Ujah

“…Key parameters such as installed capacity, net present cost (NPC), and the levelized cost of electricity (LCOE) were evaluated across different configurations involving solar PV, batteries, and diesel generators. …”
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