Empirical Evaluation of the Relative Range for Detecting Outliers by Dania Dallah, Hana Sulieman, Ayman Al Zaatreh, Firuz Kamalov

“…Outlier detection plays a key role in data analysis by improving data quality, uncovering data entry errors, and spotting unusual patterns, such as fraudulent activities. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…Simulation results demonstrate that the optimized Minimum Mean Square Error (MMSE) detector achieves up to 95 % reduction in Bit Error Rate (BER) compared to Zero-Forcing (ZF) in small-to-medium UM-MIMO configurations (2 × 2 to 32 × 32), as shown in Tables (4 and 5), while maintaining computational feasibility. …”
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Ocular findings in children, adolescents and young adults with type 1 diabetes mellitus in ghana: a cross-sectional study by Serwah Bonsu Asafo-Agyei, Emmanuel Ameyaw, Amos Aikins

“…The visual acuity of participants with established refractive errors was evaluated after refractive correction. …”
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Photogrammetric approach to detect road pavement friction. by Zdeneˇk Svatý, Pavel Vrtal, Roman Shults, Tomáš Kohout, Luboš Nouzovský, Tomáš Blodek, Karel Kocián

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Fructose-1,6-bisphosphatase deficiency as a cause of recurrent hypoglycemia and metabolic acidosis: Clinical and molecular findings in Malaysian patients by Lip Hen Moey, Nor Azimah Abdul Azize, Yusnita Yakob, Huey Yin Leong, Wee Teik Keng, Bee Chin Chen, Lock Hock Ngu

“…Background: Fructose-1,6-bisphosphatase (FBPase) deficiency is a rare autosomal recessive inborn error of gluconeogenesis. We reported the clinical findings and molecular genetic data in seven Malaysian patients with FBPase deficiency. …”
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Virtual reality navigation for the early detection of Alzheimer’s disease by Sayuri Shima, Reiko Ohdake, Yasuaki Mizutani, Harutsugu Tatebe, Riki Koike, Atsushi Kasai, Epifanio Bagarinao, Epifanio Bagarinao, Kazuya Kawabata, Kazuya Kawabata, Akihiro Ueda, Mizuki Ito, Junichi Hata, Shinsuke Ishigaki, Junichiro Yoshimoto, Hiroshi Toyama, Takahiko Tokuda, Akihiko Takashima, Hirohisa Watanabe, Hirohisa Watanabe

“…EC thickness exhibited negative correlations with age, mean PI errors, and GFAP, NfL, and p-tau181; however, none of these associations remained significant after adjusting for age in linear regression analyses.ConclusionThese findings suggest that PI quantified by 3D VR navigation systems may be useful as a surrogate diagnostic tool for the detection of early AD pathophysiology. …”
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Detecting deception in movement: the case of the side-step in rugby. by Sébastien Brault, Benoit Bideau, Richard Kulpa, Cathy M Craig

“…By waiting longer and picking up more information that would inform about future running direction these experts made significantly fewer errors (p<.05). In this paper we not only present a mathematical model that describes how deception in body-based movement is detected, but we also show how perceptual expertise is manifested in action expertise. …”
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Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction by İrem Üstek, Miguel Arana‐Catania, Alexander Farr, Ivan Petrunin

“…The first used a deep autoencoder to obtain latent features, which were then fed into clustering models, isolation forest, local outlier factor and one‐class support vector machines for anomaly detection. The second approach used a deep autoencoder to reconstruct the input data and use reconstruction errors to identify anomalies. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…These findings underscore the strong potential of DFN-YOLO for blind signal detection in broadband environments, with significant implications for both civilian and military applications.…”
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Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

“…The presented method of error correction can be implemented programmatically. …”
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Hashing to detect identical ordering of species in a shared sublattice by Yoyo Hinuma

“…The digest can tolerate numerical precision errors to some extent, and configurations with the same local environments are identified by simply sorting the digest numbers and detecting crystals with very close digests.…”
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Weather and Exposure Period Affect Coyote Detection at Camera Traps by Anastasia E. Madsen, Lucia Corral, Joseph J. Fontaine

“…However, like other techniques for measuring populations, camera traps are subject to sources of error that may bias population estimates. Past studies accounting for detection error have failed to account for a simple but potentially widely pervasive source of environmental error: weather conditions. …”
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Field Obstacle Detection and Location Method Based on Binocular Vision by Yuanyuan Zhang, Kunpeng Tian, Jicheng Huang, Zhenlong Wang, Bin Zhang, Qing Xie

“…These findings confirm that the designed model meets the requirements for obstacle detection and localization in field environments.…”
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Rice Plant Disease Detection using Convolutional Neural Networks by A. Bala Ayyappan, T. Gobinath, M. Kumar, A. Sivaramakrishnan

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ACT-FRCNN: Progress Towards Transformer-Based Object Detection by Sukana Zulfqar, Zenab Elgamal, Muhammad Azam Zia, Abdul Razzaq, Sami Ullah, Hussain Dawood

“…The results indicate that ACT-FRCNN reduces over-detection errors and improves the detection of large objects. …”
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Fault Detection System of Photovoltaic Based on Artificial Neural Network by Ali Salman Zamzeer, Mansour S. Farhan, Haider TH. ALRikabi

“…Using implementations with three different numbers of hidden layers and an identical fault dataset, the performance of the proposed network is tested. The findings of the simulation indicate a considerable proportion of fault detection and diagnosis accuracy, ranging between 95% and 98%. …”
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Optimal Selection of Intrinsic Mode Functions Applied to Seizure Detection by Luis Daladier Guerrero Otoya, Maximiliano Bueno López, Eduardo Giraldo Suárez, Marta Molinas Cabrera

“…These seizures can be detected and diagnosed noninvasively using an electroencephalogram. …”
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Lightweight Domestic Pig Behavior Detection Based on YOLOv8 by Kaining Zhang, Yu Zhang, Hongli Xu

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DualAD: Dual adversarial network for image anomaly detection⋆ by Yonghao Wan, Aimin Feng

“…One popular approach to anomaly detection is using autoencoders, which are trained to reconstruct input by minimising reconstruction error with the neural network. …”
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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

“…The burden of biotic stresses pose serious threat to crop productivity, therefore, early and accurate detection of plant diseases is essential. Conventional methods exclusively rely on human expertise, and are often labor-intensive, time-consuming, and prone to errors. …”
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