An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…ASSA addresses the challenge of determining the optimal number of decomposition layers, eliminating the parameter adjusting process and enhancing the measurement efficiency of sensor systems. Through experiments, magnetotelluric (MT) observation data with complex interferences were applied to demonstrate the performance of ASSA, and promising results with an RMSE of 0.2 were obtained. …”
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Location Research and Picking Experiment of an Apple-Picking Robot Based on Improved Mask R-CNN and Binocular Vision by Tianzhong Fang, Wei Chen, Lu Han

“…As their “perceptual core,” machine vision systems directly determine picking success rates and operational efficiency. However, existing vision systems still exhibit significant shortcomings in target detection and positioning accuracy in complex orchard environments (e.g., uneven illumination, foliage occlusion, and fruit overlap), which hinders practical applications. …”
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How to Count Parrots: Comparing the Performance of Point and Transect Counts for Surveying Tasman Parakeets (<i>Cyanoramphus cookii</i>) by Michael John Adam Skirrow, Luis Ortiz-Catedral, Adam N. H. Smith

“…The fixed-point method was also more efficient, yielding 1.338 parakeet detections per count compared to the 0.642 parakeet detections per count obtained by the line transect method. …”
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An Integrated Method for Inverting Beach Surface Moisture by Fusing Unmanned Aerial Vehicle Orthophoto Brightness with Terrestrial Laser Scanner Intensity by Jun Zhu, Kai Tan, Feijian Yin, Peng Song, Faming Huang

“…This method demonstrates robust predictive accuracy in complex beach environments, with an RMSE of 2.63% across 40 samples, efficiently producing high-resolution BSM maps that offer values in studying aeolian sand transport mechanisms.…”
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EWOD Sensor for Rapid Quantification of Marine Dispersants in Oil Spill Management by Oriol Caro-Pérez, María Blanca Roncero, Jasmina Casals-Terré

“…The device’s potential extends beyond marine dispersants to detecting various contaminants affecting surface tension. …”
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High-Sensitivity Electrical Admittance Sensor with Regression Analysis for Measuring Mixed Electrolyte Concentrations by Chun-Chi Chen, Chih-Hung Hung, Han-Xiang Zhu, Ji-Zun Chen

“…The sensor device requires no complex operational procedures and can quickly complete measurements, making it well-suited for point-of-care applications. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The proposed approach achieves high-quality and efficient target allocation, jamming mode selection, and power control. …”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…ANN and DL have significantly reshaped financial analysis due to their capacity to identify complex patterns and improve market predictions. Mimicking the computational structure of the human brain, ANN processes interconnected data points enabling efficient analysis and forecasting. …”
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Experimental Study of Process Parameter Effects on Internal Defects in Titanium Coaxial Wire-Based Laser Metal Deposition by Remy Mathenia, Braden McLain, Todd Sparks, Frank Liou

“…Wire-based laser metal deposition is an additive manufacturing process that can be used in the efficient manufacturing of complex structures. This paper utilizes a three-beam coaxial laser wire system to explore the effect of process parameters on the resultant deposition density. …”
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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

“…The main purpose of these approaches is to detect the occurrence of cardiovascular disease (CVD) using patient information from comprehensive electronic health records (HER). …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Unlike prior research, the presented approach does not provide segmentation of cell nuclei in the image, but only requires to detect them and count their number. This avoids complex algorithmic calculations and provides good accuracy of counting cell nuclei.The paper describes a series of experiments conducted to assess the effectiveness of the proposed method using the available online database of medical test histological images. …”
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Computer‐aided biochemical programming of synthetic microreactors as diagnostic devices by Alexis Courbet, Patrick Amar, François Fages, Eric Renard, Franck Molina

“…Abstract Biological systems have evolved efficient sensing and decision‐making mechanisms to maximize fitness in changing molecular environments. …”
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INNOVATIONS IN THE SYNTHESIS AND CHARACTERIZATION OF ELECTRO-OPTICAL MATERIALS BASED ON POLYMERS WITH CARBAZOLIC SEQUENCES by Ionica Ionita, Ana-Maria Albu, Cristiana Radulescu, Elena Irina Moater

“…We live in a complex world where revolutionary progress has been and continues to be made in communications, computer memory, and data processing. …”
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SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images by Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi

“…SegAN demonstrated superior performance compared to traditional segmentation approaches, achieving an accuracy of 98.5%, and a dice coefficient of 0.936 in caries detection.…”
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Indoor Multidimensional Reconstruction Based on Maximal Cliques by Yongtong Zhu, Lei Li, Na Liu, Qingdu Li, Ye Yuan

“…Three-dimensional reconstruction is an essential skill for robots to achieve complex operation tasks, including moving and grasping. …”
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Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet by Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen

“…Current coal CT image fracture segmentation faces multiple challenges, including complex fracture morphology, difficulties in micro-fracture detection, and similar gray values between fractures and coal matrices, resulting in low efficiency of traditional segmentation methods. …”
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Evaluating DL Model Scaling Trade-Offs During Inference via an Empirical Benchmark Analysis by Demetris Trihinas, Panagiotis Michael, Moysis Symeonides

“…With generative Artificial Intelligence (AI) capturing public attention, the appetite of the technology sector for larger and more complex Deep Learning (DL) models is continuously growing. …”
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Clinical features of removing phakic intraocular lenses in cataract at high myopia by M. E. Konovalov, E. M. Molokotin

“…Before complex surgical intervention (FIOL + phacoemulsification) were carried out standard ophthalmo- logic examination, and also automatic detection of density of endothelial cells.Results: the developed technique of removal of FIOL included subconjunctival anesthesia, formation of a corneal tunnel, filling of the anterior chamber viscoelastic, FIOL mobilization, removal of the bottom haptic element in the anterior chamber, removal of the top haptic element in the of anterior chamber, FIOL removal. …”
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A novel YOLO LSTM approach for enhanced human action recognition in video sequences by Mahmoud Elnady, Hossam E. Abdelmunim

“…Additionally, this approach effectively handles challenges such as occlusions, varying illumination, and complex backgrounds, making it suitable for real-world applications. …”
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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…The proposed study aims to enhance the reliability and efficiency of MANETs in attack situations when minimizing overhead from malicious traffic management. …”
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