Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset by Mautushi Das, Gonzalo Ferreira, C.P. James Chen

“…Furthermore, our results emphasize that higher model complexity does not necessarily lead to better performance. …”
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How can selection of biologically inspired features improve the performance of a robust object recognition model? by Masoud Ghodrati, Seyed-Mahdi Khaligh-Razavi, Reza Ebrahimpour, Karim Rajaei, Mohammad Pooyan

“…Our results suggest that selected features which are parts of target objects provide an efficient set for robust object recognition.…”
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Analysis of the efficacy of antiepileptic drugs in the treatment of infantile spasms and focal epilepsy associated with tuberous sclerosis complex by A. V. Grigoryeva, M. Yu. Dorofeeva, V. S. Perminov, E. D. Belousova

“…Background. Adequate selection of the 1st antiepileptic drug (AED) is an obligatory condition for the successful treatment of epilepsy. …”
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Predicting the evolution of pH and total soluble solids during coffee fermentation using near-infrared spectroscopy coupled with chemometrics by Vicente Tirado-Kulieva, Carlos Quijano-Jara, Himer Avila-George, Wilson Castro

“…In front of it, pH and total soluble solids (TSS) have been shown to be good fermentation indicators, although this requires rapid, accurate, and chemical-free measurement techniques such as NIR spectroscopy. However, the complexity of the NIR spectra requires optimization steps in which variable selection techniques simplify profiles and subsequent models. …”
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UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony by Xuzhao Chai, Guanhao Zhou, Haoyu Wang, Ping Liu, Zhongyun Liu, Chao Li, Li Yan

“…The multi-dimensional perturbation strategy is introduced in the employed bee phase to balance exploration and exploitation through preferential and random selection. In the onlooker bee phase, the curvature-guided elite neighbor search strategy is used to prioritizes high-curvature waypoints, enhancing optimization efficiency in complex terrain. …”
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A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

“…It analyzes the criteria for selecting knowledge management outsourcing providers using a genetic algorithm. …”
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Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems by Eni Haxhiraj, Desar Shahu, Elson Agastra

“…It proposes the transformation of the group of non-dominated alternatives using the Box–Cox transformation with values of λ < 1 so that the graph with a complex shape is transformed into a concave graph. …”
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Discovering Representations of Democracy in Big Data: Purposive Semantic Sample Selection for Qualitative and Mixed-Methods Research by Hubert Plisiecki, Agnieszka Kwiatkowska

“…This method applies to any multi-thematic research area within big data, offering a reliable, efficient sample selection method for social research texts. …”
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SqueezeSlimU-Net: An Adaptive and Efficient Segmentation Architecture for Real-Time UAV Weed Detection by Alina L. Machidon, Andraz Krasovec, Veljko Pejovic, Octavian M. Machidon

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Unraveling oxygen vacancy-driven catalytic selectivity and hot electron generation on heterointerfaces using nanostructured platform by Gyu Rac Lee, Kyoungjae Song, Doosun Hong, Juyoung An, Yujin Roh, Minyoung Kim, Donghun Kim, Yeon Sik Jung, Jeong Young Park

“…Abstract Modulating the physicochemical properties of oxides is crucial to achieve efficient and desirable reactions in heterogeneous catalysis. …”
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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Results on microarray datasets for leukemia prediction show that the hybrid approach outperforms other methods in terms of both effectiveness and efficiency. This work demonstrates the potential of hybrid optimization techniques in bioinformatics for better gene selection and cancer diagnosis. • Hybrid ACO-ALO approach combines strengths of both algorithms for better feature selection. • Enhances classifier performance while reducing computational complexity. • Outperforms traditional methods on leukemia prediction datasets.…”
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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning by Keyue Yan, Chi-Fai Lam, Simon Fong, João Alexandre Lobo Marques, Richard Charles Millham, Sabah Mohammed

“…This selection allows us to classify and analyze gestures more efficiently, thereby improving models’ performance and interpretability. …”
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Simple Cobalt Nanoparticle-Catalyzed Reductive Amination for Selective Synthesis of a Broad Range of Primary Amines by Bingxiao Zheng, Liqin Yang, Yashuang Hei, Ling Yu, Sisi Wen, Lisi Ba, Long Ao, Zhiju Zhao

“…This work presents a facile, aqueous-phase synthesis of highly active cobalt catalysts (Co-Ph@SiO₂(x)) via pyrolysis of silica-supported cobalt–phenanthroline complexes. The optimized Co-Ph@SiO₂(900) catalyst achieved exceptional performance (>99% conversion, >98% selectivity) in the reductive amination of acetophenone to 1-phenylethanamine using NH₃/H₂. …”
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Microscopic Origin of Polarity‐Dependent VTH Shift in Amorphous Chalcogenides for 3D Self‐Selecting Memory by Ha‐Jun Sung, Minwoo Choi, Zhe Wu, Hwasung Chae, Sung Heo, Youngjae Kang, Bonwon Koo, Jong‐Bong Park, Wooyoung Yang, Yongyoung Park, Yongnam Ham, Kiyeon Yang, Chang Seung Lee

“…Abstract Ovonic threshold switching (OTS) selectors based on amorphous chalcogenides can revolutionize 3D memory technology owing to their self‐selecting memory (SSM) behavior. However, the complex mechanism governing the memory writing operation limits compositional and device optimization. …”
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Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks by Mattia Fabiani, Asmaa Abdallah, Abdulkadir Celik, Omer Haliloglu, Ahmed M. Eltawil

“…Furthermore, an LSF-based radio unit (RU) selection algorithm is employed to activate only the contributing RUs, allowing efficient utilization of network resources. …”
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A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering by Jabbar Ahmmad, Tahir Mahmood, Dragan Pamucar, Hafiz Muhammad Waqas

“…We have introduced aggregation theory named complex q-rung orthopair fuzzy Yager weighted average and complex q-rung orthopair fuzzy Yager weighted geometric aggregation operators in Cartesian form. …”
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Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches. by Alberto Porta, Luca Faes, Vlasta Bari, Andrea Marchi, Tito Bassani, Giandomenico Nollo, Natália Maria Perseguini, Juliana Milan, Vinícius Minatel, Audrey Borghi-Silva, Anielle C M Takahashi, Aparecida M Catai

“…We found that: 1) MF approaches are more efficient than the MB method when nonlinear components are present, while the reverse situation holds in presence of high dimensional embedding spaces; 2) the CE method is the least powerful in detecting age-related trends; 3) the association of HP complexity on age suggests an impairment of cardiac regulation and response to STAND; 4) the relation of SAP complexity on age indicates a gradual increase of sympathetic activity and a reduced responsiveness of vasomotor control to STAND; 5) the association from SAP to HP on age during STAND reveals a progressive inefficiency of baroreflex; 6) the reduced connection from HP to SAP with age might be linked to the progressive exploitation of Frank-Starling mechanism at REST and to the progressive increase of peripheral resistances during STAND; 7) at REST the diminished association from RESP to HP with age suggests a vagal withdrawal and a gradual uncoupling between respiratory activity and heart; 8) the weakened connection from RESP to SAP with age might be related to the progressive increase of left ventricular thickness and vascular stiffness and to the gradual decrease of respiratory sinus arrhythmia.…”
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Development and Application of Efficient Oil Displacement System for Middle-Low Permeability and High Pour-Point Heavy Oil Reservoirs by Zhenfu Ma, Kai Zhang, Mengjie Zhao, Lu Liu, Chao Zhong, Jian Wang

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Enhanced Grounding DINO: Efficient Cross-Modality Block for Open-Set Object Detection in Remote Sensing by Zibo Hu, Kun Gao, Jingyi Wang, Zhijia Yang, Zefeng Zhang, Haobo Cheng, Wei Li

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Implications of reduced-complexity aerosol thermodynamics on organic aerosol mass concentration and composition over North America by C. Serrano Damha, K. Gorkowski, A. Zuend

“…We have implemented the Binary Activity Thermodynamics model coupled to a volatility basis set partitioning scheme in the GEOS-Chem CTM, providing an efficient reduced-complexity OA model that predicts relative-humidity-dependent mixing and partitioning thermodynamics, while limiting the impact on computational efficiency. …”
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