Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway by Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Smith Khare, Vinay C. Gogineni, Victoria Blanes-Vidal, Gunnar Baatrup

“…We developed a family of algorithms based on explainable deep neural networks (DNN) that detect polyps within a sequence of images, feed only those images containing polyps into two parallel independent networks to characterize, and estimate the size of important findings. …”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…Various feature selection algorithms were applied to identify the most relevant features, which were then used to train and evaluate machine learning classification models. …”
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Enhancing Regional Topsoil Total Nitrogen Mapping Through Differentiated Fusion of Ground Hyperspectral Data and Satellite Images Under Low Vegetation Cover by Rongpeng He, Jihua Meng, Yanfei Du, Zhenxin Lin, Xinyan You, Xinyu Gao

“…Therefore, a differentiated fusion of enhanced multispectral image bands (DFE_MSIBs) method combined with Random Forest (RF) algorithms was developed for spectral inversion of STN content. …”
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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…In the experiments, four classes of human emotion are examined, such as neutral, happy, angry, and sad. The system detects facial areas in video frames using the Viola-Jones algorithm and identifies the emotions on the detected faces using the Convolutional Neural Network (CNN) method with the VGG-16 architecture. …”
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Social Media Suicide Watch by Katherine Prothro

“…Her own Twitter account revealed signals of her worsening mental health crisis.[1] While better content censoring could have helped, an algorithm capable of detecting her worsening mental state and alerting trusted individuals could have also served as a crucial safety net. …”
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Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i by Melissa Weidlich-Rau, Amanda K. Navine, Patrick T. Chaopricha, Felix Günther, Stefan Kahl, Thomas Wilhelm-Stein, Raymond C. Mack, Hendrik Reers, Aaron N. Rice, Maximilian Eibl, Patrick J. Hart, Patrick Wolff, Holger Klinck, Lena D. Schnell, Rogelio Doratt, Michael Loquet, Tiana Lackey

“…The system is based on the BirdNET algorithm and was evaluated with over 16,000 soundscape recordings from Hawai‘i. …”
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Deep Learning Based Large‐Area Contact Sensing for Safe Human–Robot Interaction Using Conformal Kirigami Structure‐Enabled Robotic E‐Skin by Rui Jiao, Zhengjun Wang, Ruoqin Wang, Qian Xu, Jiacheng Jiang, Boyang Zhang, Simin Yang, Yang Li, Yik Kin Cheung, Fan Shi, Hongyu Yu

“…This sensor network can effectively detect Lamb/guided wave responses generated by transient hard contact. …”
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A Novel Jamming Method Based on Sine Function Secondary Modulation and Phase Coded Modulation by Guikun Liu, Guangyuan Li, Zhenyang Xu, Haoming Xu, Feng Ming, Liang Li, Chen Song, Zhengshuai Li, Peng Wang

“…Since the effect is relatively single and the power demand is high, the suppression jamming method is easy to detect and identify. Meanwhile, deception jamming requires high-precision reconnaissance of signal parameters and complex algorithm design, so it is difficult to develop the system. …”
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Diagnosis of Multiple Open-circuit and Short-circuit Faults in Three-phase Multicellular Inverter Based on Sliding Mode Observer by Fatma Khater, Abderrezak Aibeche, Sid Ali Fellag, Mohamed Zinelabidine Doghmane, Hamza Akroum

“…The performance of the proposed algorithm is assessed and validated through simulations in the MATLAB/Simulink environment. …”
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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

“…Building operational data typically suffer from data quality problems, such as insufficient labeled and imbalanced data, making them incompatible with conventional machine learning algorithms. Recent advances in data science have provided novel machine learning paradigms to tackle such data challenges for practical applications, such as transfer learning, semi-supervised learning, and generative learning. …”
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Outliers and anomalies in training and testing datasets for AI-powered morphometry—evidence from CT scans of the spleen by Yuriy Vasilev, Yuriy Vasilev, Anastasia Pamova, Tatiana Bobrovskaya, Anton Vladzimirskyy, Anton Vladzimirskyy, Olga Omelyanskaya, Elena Astapenko, Artem Kruchinkin, Novik Vladimir, Kirill Arzamasov, Kirill Arzamasov

“…IntroductionCreating training and testing datasets for machine learning algorithms to measure linear dimensions of organs is a tedious task. …”
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A novel intraoperative Esophagus-Sparing Anastomotic Narrowing Revision (ESANR) technique for patients who underwent esophagojejunostomy: three case reports and a review of the lit... by Jian Zhou, Zhenhong Wang, Guobiao Chen, Yi Li, Min Cai, Fathima Shifly Pannikkodan, Xiangzhi Qin, Dan Bai, Zhenbing Lv, Lei Gong, Yunhong Tian

“…The anastomotic narrowing was detected by intraoperative gastroscopy after reconstruction. …”
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Fractal cycles of sleep, a new aperiodic activity-based definition of sleep cycles by Yevgenia Rosenblum, Mahdad Jafarzadeh Esfahani, Nico Adelhöfer, Paul Zerr, Melanie Furrer, Reto Huber, Famke F Roest, Axel Steiger, Marcel Zeising, Csenge G Horváth, Bence Schneider, Róbert Bódizs, Martin Dresler

“…Children and adolescents had shorter fractal cycles than young adults (76±34 vs 94±32 min). The fractal cycle algorithm detected cycles with skipped REM sleep in 91–98% of cases. …”
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Enhanced diabetes prediction using skip-gated recurrent unit with gradient clipping approach by Suhas Kamshetty Chinnababu, Suhas Kamshetty Chinnababu, Suhas Kamshetty Chinnababu, Ananda Babu Jayachandra, Ananda Babu Jayachandra, Swathi Holalu Yogesh, Swathi Holalu Yogesh, Mohamed Abouhawwash, Mohamed Abouhawwash, Doaa Sami Khafaga, Eman Abdullah Aldakheel, Vinaykumar Vajjanakurike Nagaraju, Vinaykumar Vajjanakurike Nagaraju

“…Disease prediction using various machine learning (ML) approaches has gained attention because of its potential for early detection. However, it is a challenging task for ML-based algorithms to capture the long-term dependencies like glucose levels in the diabetes data. …”
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Critical review of OCT in clinical practice for the assessment of oral lesions by Fariba Esperouz, Domenico Ciavarella, Mauro Lorusso, Andrea Santarelli, Lorenzo Lo Muzio, Giuseppina Campisi, Lucio Lo Russo

“…This is further complicated by the introduction and increased trend to adopt artificial intelligence (AI) algorithms in imaging evaluation. Machine learning and deep learning algorithms have shown superior diagnostic sensitivity and accuracy compared to clinician judgment. …”
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Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

“…The main problem is generation of effective data processing algorithms for their accurate and unambiguous interpretation. …”
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Nailfold videocapillaroscopy in patients with deficiency of adenosine deaminase 2 (DADA2): a case-control study by Pietro Francesco Bica, Caterina Matucci-Cerinic, Elvis Hysa, Andrea Cere, Silvia Rosina, Stefano Volpi, Roberta Caorsi, Alberto Sulli, Sabrina Paolino, Vanessa Smith, Maurizio Cutolo, Marco Gattorno

“…The NVC parameters were classified according to the EULAR SG Fast Track Algorithm and distinguished between scleroderma-pattern (giant capillaries and/or loss of capillaries combined with abnormally shaped capillaries) and non-scleroderma patterns (non-specific NVC alterations). …”
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Continuous digital cough monitoring during 6-month pulmonary tuberculosis treatment by Mihaja Raberahona, Alexandra Zimmer, Rivonirina Andry Rakotoarivelo, Patrick Andriniaina Randrianarisoa, Garcia Rambeloson, Etienne Rakotomijoro, Christophe Elody Andry, Haingonirina Anique Razafindrakoto, Dera Andriantahiana, Mamy Jean de Dieu Randria, Niaina Rakotosamimanana, Simon Grandjean Lapierre

“…Participants’ coughs were continuously monitored during 6 months with a smartphone loaded with an app able to detect cough by using an AI algorithm. Results 22 participants were included. …”
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The Voltage-Ear – An Anomaly in Photovoltaic Systems With Undersized Inverters by Ernst Wittmann, Claudia Buerhop-Lutz, Vincent Christlein, Jens Hauch, Christoph J. Brabec, Ian Marius Peters

“…Instances of the phenomena were detected and segmented using a K-means sorting algorithm, which yielded a perfect recall value. …”
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Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification by Wenbo Li, Yukun Long, Yingyin Yan, Kun Xiao, Zhuo Wang, Di Zheng, Arnaldo Leal-Junior, Santosh Kumar, Beatriz Ortega, Carlos Marques, Xiaoli Li, Rui Min

“…Additionally, utilizing peak detection algorithms for feature extraction from pulse signals and subsequently employing a variety of machine learning methods, accurate BP monitoring and biometric ID have been realized. …”
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