Berth Efficiency Under Risk Conditions in Seaports Through Integrated DEA and AHP Analysis by Deda Đelović, Marinko Aleksić, Oto Iker, Michail Chalaris

“…In the first phase, the DEA CCR input-oriented model is employed to assess the efficiency of selected berths considered as Decision Making Units (DMUs). …”
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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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Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation by Shunjing Wang, Ru Ma, Qunran Yuan, Hongda Li, Changqing Jiang

“…Visualization of the volume of tissue activated (VTA) can assist in selecting stimulation parameters by showing the direct effects of DBS on neural tissue. …”
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TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition by Wenzao Li, Sai Yao, Bing Wan, Linsong Xiao, Chengyu Hou, Yanchuan Zhong, Wengang Zhou

“…However, TDNN often struggles with accurately modeling multi-scale features when processing complex audio data, which can result in reduced speaker recognition accuracy. …”
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Impact of Mobile Phase Composition on Separation Selectivity of Labeled Dextran Ladder in Hydrophilic Interaction Liquid Chromatography by Matjaž Grčman, Niko R. Pompe, Drago Kočar, Matevž Pompe

“…There are many kinds of glycans, the most common being N-glycans, which can be arranged into three classes, that is, complex, hybrid, and high mannoses, forming a structurally very diverse set of polar compounds that are difficult to detect and separate. …”
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Detection of false position attacks in VANETs through bagging ensemble learning. by Bekan Kitaw Mekonen, Lemi Bane, Negasa Berhanu Fite

“…MLP with bagging shows strong results for simpler attacks but underperforms in complex scenarios. The proposed framework highlights the effectiveness of ensemble techniques, particularly KNN with bagging, in safeguarding VANET communication systems, offering a scalable, efficient, and robust solution for VANET security.…”
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A lightweight MHDI-DETR model for detecting grape leaf diseases by Zilong Fu, Lifeng Yin, Can Cui, Yi Wang

“…This structure is designed to overcome the challenges of capturing complex high-level and subtle low-level features, and it uses Efficient Local Attention to focus more efficiently on regions of interest, thereby enhancing the model’s ability to detect complex targets while improving accuracy and inference speed. …”
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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

“…The relevant wavelengths were then selected using the β coefficients, the important projection of variables (VIP), and the CAFS method. …”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…At the same time, despite capturing complex price dynamics, machine learning and deep learning approaches often face the risk of overfitting. …”
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Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

“…These devices have limited capabilities in terms of energy and processing. Due to the complex structure of unmanned aerial vehicle networks and the high mobility constraints, design of efficient routing protocol, for supporting such network, is a challenge. …”
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Efficient Robot Localization Through Deep Learning-Based Natural Fiduciary Pattern Recognition by Ramón Alberto Mena-Almonte, Ekaitz Zulueta, Ismael Etxeberria-Agiriano, Unai Fernandez-Gamiz

“…The proposal of an algorithm that enables the application of the proposed method for natural fiduciary patterns based on neural networks to more complex scenarios is highlighted, along with the efficiency of the method for robot localization compared to others.…”
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Advancing construction safety: YOLOv8-CGS helmet detection model. by Zhihui Wu, Xiaojia Lei, Munish Kumar

“…The goal is to enhance the model's detection accuracy and robustness in complex scenarios. …”
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Characterize the Complete Mitogenome of Semiaquilegia guangxiensis and Assess the Efficiency of the Mitochondrial Genes in Ranunculales Phylogeny by Zheng‐Juan Zhu, Xin‐Mei Qin, Peng‐Wei Li, Yong‐Bin Lu, Xiao‐Yuan Mo, Yuan Fang, Qiang Zhang

“…As the first reported mitogenome in Semiaquilegia, our findings enrich the limited mitogenome library of plants, reecho the complex evolutionary dynamics of the mitogenome, and highlight the usefulness of mitochondrial gene sequences in phylogenetics.…”
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Real-Time Explainable Multiclass Object Detection for Quality Assessment in 2-Dimensional Radiography Images by Sadra Naddaf-Sh, M-Mahdi Naddaf-Sh, Hassan Zargarzadeh, Maxim Dalton, Soodabeh Ramezani, Gabriel Elpers, Vinay S. Baburao, Amir R. Kashani

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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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Effect of Oxidative Roasting on Selective Leaching of Lithium from Industrially Shredded Lithium Iron Phosphate Blackmass by Ayesha Tasawar, Daniel Dotto Munchen, Alexander Birich, Rungsima Yeetsorn, Bernd Friedrich

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Emerging technologies for detecting antibiotics in aquaculture wastewater: A critical review by Xinyu Chang, Junchi Cui, Guihua Wang, Shujuan Meng, Lingling Chen, Meng Zhang

“…Consequently, accurate and efficient detection methods for antibiotics, particularly within complex environmental matrices, are essential. …”
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Obstacle detection and avoidance system based on layered costmaps for robot tractors by Ricardo Ospina, Kota Itakura

“…This paper presents a novel obstacle detection and avoidance system based on layered costmaps, designed to enhance the safety and efficiency of robot tractors navigating farm roads. …”
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Topology Optimization Study of a Refrigeration Block Manufactured with Powder Bed Fusion Selective Laser Melting by Guido Servetti, Federico Valente, Jérôme Laurent, Jitendra Singh Rathore

“…Powder bed fusion with a selective laser melting (SLM) process is a versatile technology that allows for the manufacturing of complex geometries and lightweight structures. …”
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Multiscale Information Fusion Based on Large Model Inspired Bacterial Detection by Zongduo Liu, Yan Huang, Jian Wang, Genji Yuan, Junjie Pang

“…Accurate and efficient bacterial detection is essential for public health and medical diagnostics. …”
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