RETRACTED ARTICLE: Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network by Refat Khan Pathan, Munmun Biswas, Suraiya Yasmin, Mayeen Uddin Khandaker, Mohammad Salman, Ahmed A. F. Youssef

“…However, such drawbacks can be easily overcome by employing artificial intelligence-based techniques. Since, in this modern era of advanced mobile technology, using a camera to take video or images is much easier, this study demonstrates a cost-effective technique to detect American Sign Language (ASL) using an image dataset. …”
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Reconstructing the Three-Dimensional Thermohaline Structure of Mesoscale Eddies in the South China Sea Using In Situ Measurements and Multi-Sensor Satellites by Zhiyuan Zhuang, Yanwei Zhang, Liuzhenyi Zhang, Weihan Ruan, Danni Lyu, Jiancheng Yu

“…In this study, we propose an artificial intelligence (AI)–physics-based deep learning model that integrates satellite measurements and Argo data from 2003 to 2021 to reconstruct the three-dimensional thermohaline structure of mesoscale eddies in the SCS. …”
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Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases by Sandra Roger, Carmen Botella-Mascarell, David Martin-Sacristan, David Garcia-Roger, Jose F. Monserrat, Tommy Svensson

“…We start by identifying three current technology trends, namely, towards climate neutral; cloudification and edge computing; and Big Data and artificial intelligence, and then we examine their capability to enable sustainable Vehicle-to-Everything (V2X) communication systems in beyond 5G and 6G networks. …”
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Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

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EfficientNet-B0 outperforms other CNNs in image-based five-class embryo grading: a comparative analysis by Vincent Jaehyun Shim, Hosup Shim, Sangho Roh

“…Traditional methods, such as the Gardner grading system, rely on subjective human assessment of morphological features, leading to potential inconsistencies and errors. Artificial intelligence-powered grading systems offer a more objective and consistent approach by reducing human biases and enhancing accuracy and reliability. …”
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A study on the global patterns in the design and development of ventricular assist devices: a visualization approach by Ajay K. Sood, A. K. Prasada Rao

“…Future studies can be conducted to explore the use of artificial intelligence and machine learning that can learn from data about patients and then adapt as per the requirements of the patients.…”
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Interpretation of Rehabilitation Medicine Specialty Indicators in National Report on the Services， Quality and Safety in Medical Care System by ZHOU Mouwang

“…Rehabilitation medical treatment and quality control information system is changing from "information" to "intelligent", information management will combine with artificial intelligence natural language analysis and other emerging technologies, it can simplify and accurately the extraction process of quality control data, constantly improve the efficiency of rehabilitation medical quality control.…”
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FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

“…Recently, convolutional neural networks (CNNs) have received a massive amount of interest due to their ability to achieve high accuracy in various artificial intelligence tasks. With the development of complex CNN models, a significant drawback is their high computational burden and memory requirements. …”
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Survey on the development of mimic defense in cyberspace:from mimic concept to “mimic+” ecology by Hailong MA, Liang WANG, Tao HU, Yiming JIANG, Yanze QU

“…Build upon the dynamic-heterogeneous-redundant architecture for multi-body execution, multi-mode ruling and multi-dimension reconstruction, cyberspace mimic defense (CMD) uses uncertain system to deal with the uncertain threat to cyberspace ubiquity.The evolution of CMD over the past 8 years were reviewed systematically from the vertical, horizontal, current, developing and future perspectives.From the vertical perspective, the development process of CMD from concept to theory and practice was summarized.From the horizontal view, it elaborated the core structure DHR (dynamical heterogeneous redundancy) of CMD, the principles based on CMD’s three major theorems, safety gains and performance costs.A comparison was conducted between CMD and five other active defense technologies, namely intrusion tolerance, moving target defense, zero trust architecture, trusted computing and computer immunology.From the current perspective, it reviewed the implementation elements, performance, system architecture, heterogeneous strategies, scheduling strategies, voting strategies and other common technology patterns and characteristics of 11 types of main existing mimic products including mimicry router, mimicry processor, mimicry DNS server and mimicry cloud platform.From the developing perspective, it explored the “mimic+” AICDS (Mimic + AI/IoT/Cloud/Data/SDN) symbiotic ecology with respect to 5 types of new technologies, namely artificial intelligence, Internet of things, cloud computing, big data and software-defined network, and proposed the corresponding technology junctions and cross research value.From the future perspective, it looked into the future mimicry baseline 2.0 product ecology, “mimic +5G/6G”, “mimic + edge computing”,“mimic + cloud” and “mimic + blockchain” application scenarios.Besides, 4 types of challenges faced by CMD in the future were analyzed and summarized, including escape space of multi-mode decision attack, mutual restriction of heterogeneous and synchronous, difficult balance between security and function, and limited transformation space of existing endogenous security components.…”
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Management of Sustainable Development of the Fuel and Energy Complex of the Regional Economic System Based on Digital Technologies by Ekaterina A. Zemlyacheva

“…Features of the new approach are: 1) transition from public administration to corporate governance; 2) reliance on digital technologies in management; 3) flexible use of digital technologies in management, which involves the limited and careful use of controversial technologies (geographic information systems, Internet of things, cloud services and artificial intelligence) and the expansion of the use of key technologies that positively affect the sustainability of the fuel and energy complex in the regional economy of Russia: ERP systems, large data and digital platforms. …”
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Fractal dimensions in oral squamous cell carcinoma: A novel diagnostic paradigm by Ramkumar Ravichandran, Nagarathinam Anbu Elangovan, Rajkumar Krishnan, Dominic S, Dinesh Kumar Thayalan, Supriya Ponsingh

“…Furthermore, the combination of fractal image analysis and artificial intelligence may facilitate automated diagnosis of oral squamous cell carcinoma.…”
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Accelerating editorial processes in scientific journals: Leveraging AI for rapid manuscript review by Luca Fiorillo, Vini Mehta

“…Introduction: Artificial intelligence (AI) integration in business is increasingly recognized for enhancing productivity and efficiency. …”
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You Only Attack Once: Single-Step DeepFool Algorithm by Jun Li, Yanwei Xu, Yaocun Hu, Yongyong Ma, Xin Yin

“…Adversarial attacks expose the latent vulnerabilities within artificial intelligence systems, necessitating a reassessment and enhancement of model robustness to ensure the reliability and security of deep learning models against malicious attacks. …”
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Linear Diophantine Uncertain Linguistic Power Einstein Aggregation Operators and Their Applications to Multiattribute Decision Making by Tahir Mahmood, Izatmand, Zeeshan Ali, Kifayat Ullah, Qaisar Khan, Ahmed Alsanad, Mogeeb A. A. Mosleh

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Agriculture data sharing review by Jorge Chamorro-Padial, Jordi Virgili-Gomá, Rosa Gil, Mercè Teixidó, Roberto García

“…This study offers valuable insights for researchers, policymakers, and practitioners, focusing on the evolution of the dynamic landscape of agricultural data spaces and potential future innovations in fields like data analytics and Artificial Intelligence, Internet of Things, Blockchain, digital divide and digital farming platforms. …”
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Iron deficiency anemia during pregnancy and maternal and neonatal health outcomes: A prospective study, Spain, 2021–2022 by Regina Ruiz de Viñaspre-Hernández, Raúl Juárez-Vela, José Antonio Garcia-Erce, Kapil Nanwani-Nanwani, Silvia González-Fernández, Vicente Gea-Caballero, Ignacio Larrayoz-Roldán, Alberto Tovar-Reinoso, Pablo del Pozo-Herce, Pilar Sanchez-Conde, Clara Isabel Tejada-Garrido, Manuel Quintana-Diaz

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Out-of-distribution generalization for segmentation of lymph node metastasis in breast cancer by Yiannis Varnava, Kiran Jakate, Richard Garnett, Dimitrios Androutsos, Pascal N. Tyrrell, April Khademi

“…Abstract Pathology provides the definitive diagnosis, and Artificial Intelligence (AI) tools are poised to improve accuracy, inter-rater agreement, and turn-around time (TAT) of pathologists, leading to improved quality of care. …”
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Predicting Traffic Accident Risk in Seoul Metropolitan City: A Dataset Construction Approach by Ji-Woong Yang, Hyeon-Jin Jung, Tae-Wook Kim, Han-Jin Lee, Ellen J. Hong

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Improving Health Through Indoor Environmental Quality Monitoring: A Review of Data-Driven Models and Smart Sensor Innovations by Kidari Rachid, Tilioua Amine

“…There is a lot of promise in using artificial intelligence to manage environmental quality. AI offers a more effective and proactive method of improving indoor air quality and occupant well-being by predicting, monitoring, and regulating thermal comfort levels and lowering indoor pollution. …”
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An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study. by Abdulkerim Capar, Dursun Ali Ekinci, Mucahit Ertano, M Khalid Khan Niazi, Erva Bengu Balaban, Ibrahim Aloglu, Meryem Dogan, Ziyu Su, Fugen Vardar Aker, Metin Nafi Gurcan

“…Furthermore, a procedure for conducting clinical validations of artificial intelligence (AI) based cell detection methods was elucidated. …”
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