Algal biomusic generation by Joshua M. Lawrence, Emma Albertini, Alberto Scarampi, Paolo Bombelli, Lucia B. Giron, Lena Kuzmich, Christopher J. Howe

“…To date, most of these efforts have focused on the use of computational algorithms to compose music. Biomusic – music created using biological data – provides an alternative paradigm for the creation of non-human music which can be truly ecocentric. …”
Get full text

A heretical point of view in masonry structures dynamics by Mario Argenziano, Enrico Babilio, Yoshiki Ikeda, Massimiliano Fraldi

“…In dynamic simulations, undesired blocks’ interpenetration forces algorithms to continuously check the compatibility and to eventually stop and restart the analysis with somehow arbitrary initial conditions. …”
Get full text

Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

“…It also revisits Reinforcement Learning Algorithms, the main frameworks and simulators adopted for specific landing operations. …”
Get full text

The impact of artificial intelligence on research efficiency by Mitra Madanchian, Hamed Taherdoost

“…However, challenges such as bias in algorithms, concerns about data privacy, and deficiencies in the infrastructure impede wide-scale application. …”
Get full text

Review of Brain-Machine Interfaces Used in Neural Prosthetics with New Perspective on Somatosensory Feedback through Method of Signal Breakdown by Gabriel W. Vattendahl Vidal, Mathew L. Rynes, Zachary Kelliher, Shikha Jain Goodwin

“…The brain-machine interface (BMI) used in neural prosthetics involves recording signals from neuron populations, decoding those signals using mathematical modeling algorithms, and translating the intended action into physical limb movement. …”
Get full text

Routing Protocols for Vehicular Delay Tolerant Networks: A Survey by Hyunwoo Kang, Syed Hassan Ahmed, Dongkyun Kim, Yun-Su Chung

“…Until now, many routing protocols have been proposed to meet requirements of varying applications. …”
Get full text

Detecting Textual Propaganda Using Machine Learning Techniques by Akib Mohi Ud Din Khanday, Qamar Rayees Khan, Syed Tanzeel Rabani

“…Nowadays Social Networks are used for gaining influence in many fields like in elections, advertisements etc. …”
Get full text

Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems by Guanxue Yang, Shimin Lei, Guanxiao Yang

“…Due to the complexity of system modeling, the way in which universal and feasible inference algorithms are studied is a key challenge for network reconstruction. …”
Get full text

NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION by Özkan Özdemir

“…Targeted approaches such as gene panels and exome sequencing have provided many advantages in discovering somatic variants with the help of powerful computational algorithms. …”
Get full text

Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches by Taghreed Bagies

“…Each dimension is expressed as having many security requirements that should be designed, implemented, and tested. …”
Get full text

Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents by Yohanes Tarigan

“…Suicidal ideation frequently occurs in teenagers, and many who seek consultation report similar thoughts or engage in self-harm. …”
Get full text

Efficient MPS representations and quantum circuits from the Fourier modes of classical image data by Bernhard Jobst, Kevin Shen, Carlos A. Riofrío, Elvira Shishenina, Frank Pollmann

“…Applying quantum machine learning algorithms to classical data can have many important applications, as qubits allow for dealing with exponentially more data than classical bits. …”
Get full text

Deep Learning Applications in Medical Image Processing by Ayşe Gül Eker, Nevcihan Duru

“…Very recent examples are presented from studies in the fields of segmentation, classification and disease diagnosis, image generation, image transformation and image enhancement. The algorithms used in the studies are briefly explained. …”
Get full text

Identity Roles and Sociality on TikTok: Performance in Hereditary Cancer Content (#BRCA and #Lynchsyndrome) by Hannah Ditchfield, Stefania Vicari

“…Digital platforms have long been understood as important spaces where identity performance takes place with networks and interpersonal interaction forming the basis of many theoretical approaches to self. Due to TikTok’s distinctive technical structure, scholars have argued that processes of sociality and identity construction have changed, calling into question some of the founding principles of how we understand identity performance on social media. …”
Get full text

Equalization methods for Filter Bank Multicarrier OQAM by Oras Faiz Kadhem, Thamer M Jamel, Hasan F Khazaal

“…To mitigate the negative effects of channel defects, many channel equalization algorithms have been developed for use in modern telecommunications networks. …”
Get full text

Applications of Machine Learning Technologies for Feedstock Yield Estimation of Ethanol Production by Hyeongjun Lim, Sojung Kim

“…Biofuel has received worldwide attention as one of the most promising renewable energy sources. Particularly, in many countries such as the U.S. and Brazil, first-generation ethanol from corn and sugar cane has been used as automobile fuel after blending with gasoline. …”
Get full text

A mechanism for value-sensitive decision-making. by Darren Pais, Patrick M Hogan, Thomas Schlegel, Nigel R Franks, Naomi E Leonard, James A R Marshall

“…We propose that the model, and the significant role of the values of the alternatives, may describe other decision-making systems, including intracellular regulatory circuits, and simple neural circuits, and may provide guidance in the design of decision-making algorithms for artificial systems, particularly those functioning without centralised control.…”
Get full text

Experimental performance analysis of lightweight block ciphers and message authentication codes for wireless sensor networks by Sooyeon Shin, Minwoo Kim, Taekyoung Kwon

“…Wireless sensor networks are widely used in many mission critical applications such as environment monitoring, military monitoring, and healthcare. …”
Get full text

Investigating the Enterprise Transition to Digital by N. V. Dneprovskaya

“…The way to DE includes successive stages of using IT: automation, informatization and digitalization. Today many Russian enterprises are passing through the 1st stage of using IT. …”
Get full text

Beyond the cybernetic loop: smart” pain technology in a recursive society by Benjamin Lipp, Stephen Hilgartner

“…New wearable and implantable devices aim to partly remove human decision-making from pain management, delegating it to more or less closed feedback loops that capture signals directly from the body, process them algorithmically, and administer electrical stimulation to modulate nerve response. …”
Get full text