<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal |</title><link>https://haklidir.github.io/publication_types/article-journal/</link><atom:link href="https://haklidir.github.io/publication_types/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://haklidir.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Article-Journal</title><link>https://haklidir.github.io/publication_types/article-journal/</link></image><item><title>Advancing geothermal reservoir temperature prediction in the Western Anatolia (Türkiye) using synthetic hydrogeochemical data from rank–Gaussian copulas</title><link>https://haklidir.github.io/publications/copula-synthetic-data-reservoir-temperature-geothermics-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/copula-synthetic-data-reservoir-temperature-geothermics-2026/</guid><description>&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Ajan Toplumlarında Rızanın Çöküşü: Clawdbot/Moltbook Vakası Üzerinden Sosyoteknik Bir Analiz</title><link>https://haklidir.github.io/publications/ajan-toplumlarinda-rizanin-cokusu-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/ajan-toplumlarinda-rizanin-cokusu-2026/</guid><description>&lt;p&gt;&lt;em&gt;English title: The Collapse of Consent in Agent Societies: A Sociotechnical Analysis of the Clawdbot/Moltbook Case&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;English summary.&lt;/strong&gt; The article examines how consent mechanisms break down in ecosystems where autonomous AI agents interact with one another. Taking the early-2026 Clawdbot/Moltbook case as a paradigmatic case, and drawing on Jasanoff&amp;rsquo;s co-production, Latour&amp;rsquo;s actor-network theory and Nissenbaum&amp;rsquo;s contextual integrity, it identifies six consent fragilities specific to agent ecosystems and argues that as interaction chains lengthen, consent approaches zero.&lt;/p&gt;
&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Artificial Intelligence in Washing Machines: A Systematic Review</title><link>https://haklidir.github.io/publications/ai-washing-machines-review-nca-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/ai-washing-machines-review-nca-2026/</guid><description>&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Predicting dissolved lithium in geothermal fluids from routine hydrogeochemistry: a machine learning framework with calibrated uncertainty quantification</title><link>https://haklidir.github.io/publications/lithium-prediction-uq-esi-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/lithium-prediction-uq-esi-2026/</guid><description>&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>AI content detection in the emerging information ecosystem: new obligations for media and tech companies</title><link>https://haklidir.github.io/publications/ai-content-detection-eit-2024/</link><pubDate>Sat, 21 Sep 2024 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/ai-content-detection-eit-2024/</guid><description>&lt;p&gt;Examines how new regulatory instruments, including the EU AI Act, create binding obligations for AI providers to mark and detect AI-generated content, and what these obligations mean for media and technology companies in the emerging information ecosystem.&lt;/p&gt;
&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Artificial Intelligence in Minimally Invasive Adrenalectomy: Using Deep Learning to Identify the Left Adrenal Vein</title><link>https://haklidir.github.io/publications/adrenal-vein-deep-learning-slept-2023/</link><pubDate>Tue, 30 May 2023 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/adrenal-vein-deep-learning-slept-2023/</guid><description>&lt;p&gt;An earlier Turkish version was presented at the 11th National Endocrine Surgery Congress, Antalya, 2023.&lt;/p&gt;
&lt;p&gt;Research area:
,
.&lt;/p&gt;</description></item><item><title>Overweight and obesity in preschool children in Turkey: A multilevel analysis</title><link>https://haklidir.github.io/publications/preschool-obesity-multilevel-jbs-2022/</link><pubDate>Fri, 28 Jan 2022 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/preschool-obesity-multilevel-jbs-2022/</guid><description>&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Guided Soft Actor Critic: A Guided Deep Reinforcement Learning Approach for Partially Observable Markov Decision Processes</title><link>https://haklidir.github.io/publications/guided-soft-actor-critic-ieee-access-2021/</link><pubDate>Mon, 29 Nov 2021 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/guided-soft-actor-critic-ieee-access-2021/</guid><description>&lt;p&gt;Introduces Guided Soft Actor-Critic (GSAC), in which a guidance module steers Soft Actor-Critic during training to cope with partial observability, improving sample efficiency and final return on partially observable continuous-control tasks.&lt;/p&gt;
&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Structures of MERS-CoV macro domain in aqueous solution with dynamics: Impacts of parallel tempering simulation techniques and CHARMM36m and AMBER99SB force field parameters</title><link>https://haklidir.github.io/publications/mers-cov-macro-domain-proteins-2021/</link><pubDate>Tue, 18 May 2021 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/mers-cov-macro-domain-proteins-2021/</guid><description>&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Deep Reinforcement Learning for Simulation-Based Determination of COVID-19 Pandemic Mitigation Policies</title><link>https://haklidir.github.io/publications/covid-mitigation-drl-aita-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/covid-mitigation-drl-aita-2021/</guid><description>&lt;p&gt;A preliminary version was presented at the II. International Artificial Intelligence in Health Congress (SYZ 2021), İzmir.&lt;/p&gt;
&lt;p&gt;Research area:
,
.&lt;/p&gt;</description></item><item><title>Towards Federated Learning in Identification of Medical Images: A Case Study</title><link>https://haklidir.github.io/publications/federated-medical-images-aita-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/federated-medical-images-aita-2021/</guid><description>&lt;p&gt;Also presented at the II. International Artificial Intelligence in Health Congress (SYZ 2021), İzmir.&lt;/p&gt;
&lt;p&gt;Research area:
,
.&lt;/p&gt;</description></item><item><title>Unfairness of Deep Learning Methods Arising Gender Bias in Covid-19 Diagnosis of Medical Images</title><link>https://haklidir.github.io/publications/gender-bias-covid-diagnosis-aita-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/gender-bias-covid-diagnosis-aita-2021/</guid><description>&lt;p&gt;Also presented at the II. International Artificial Intelligence in Health Congress (SYZ 2021), İzmir.&lt;/p&gt;
&lt;p&gt;Research area:
,
.&lt;/p&gt;</description></item><item><title>Prediction of geothermal originated boron contamination by deep learning approach: at Western Anatolia Geothermal Systems in Turkey</title><link>https://haklidir.github.io/publications/boron-contamination-deep-learning-ees-2020/</link><pubDate>Wed, 01 Apr 2020 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/boron-contamination-deep-learning-ees-2020/</guid><description>&lt;p&gt;Uses hydrogeochemical variables and a deep neural network to predict boron contamination originating from geothermal systems in Western Anatolia, and uses the model to discuss sustainable discharge scenarios.&lt;/p&gt;
&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Prediction of Reservoir Temperatures Using Hydrogeochemical Data, Western Anatolia Geothermal Systems (Turkey): A Machine Learning Approach</title><link>https://haklidir.github.io/publications/reservoir-temperature-ml-nrr-2020/</link><pubDate>Wed, 27 Nov 2019 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/reservoir-temperature-ml-nrr-2020/</guid><description>&lt;p&gt;A deep neural network forecasts geothermal reservoir temperatures from routine water-chemistry data, offering a way to reduce exploration risk and cost before drilling.&lt;/p&gt;
&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Fuzzy control of calcium carbonate and silica scales in geothermal systems</title><link>https://haklidir.github.io/publications/scale-fuzzy-control-geothermics-2017/</link><pubDate>Tue, 11 Jul 2017 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/scale-fuzzy-control-geothermics-2017/</guid><description>&lt;p&gt;Research area:
.&lt;/p&gt;</description></item><item><title>Modeling, simulation and fuzzy control of an anthropomorphic robot arm by using Dymola</title><link>https://haklidir.github.io/publications/robot-arm-fuzzy-control-jim-2009/</link><pubDate>Sun, 04 Jan 2009 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/robot-arm-fuzzy-control-jim-2009/</guid><description>&lt;p&gt;Research area:
,
.&lt;/p&gt;</description></item><item><title>The possibilities for hydrogen production from H2S and storage in the Black Sea</title><link>https://haklidir.github.io/publications/hydrogen-h2s-black-sea-ijnhpa-2009/</link><pubDate>Thu, 01 Jan 2009 00:00:00 +0000</pubDate><guid>https://haklidir.github.io/publications/hydrogen-h2s-black-sea-ijnhpa-2009/</guid><description>&lt;p&gt;Research area:
.&lt;/p&gt;</description></item></channel></rss>